Research article

Carbon-based cryoelectronics: graphene and carbon nanotube

  • Xiaosong Deng ,
  • Ning Kang , * ,
  • Zhiyong Zhang , *
Expand
  • Key Laboratory for the Physics and Chemistry of Nanodevices and Center for Carbon-based Electronics, School of Electronics, Peking University, Beijing 100871, China
*E-mails: (Ning Kang),
(Zhiyong Zhang)

Received date: 2023-04-10

  Accepted date: 2023-08-13

  Online published: 2023-08-18

Abstract

The rise of quantum computing has prompted the interest in the field of cryogenic electronics. Carbon-based materials hold great promise in the area of cryogenic electronics due to their excellent material properties and emergent quantum effects. This paper introduces the advantages of carbon-based materials for cryogenic applications and reviews recent progress in carbon nanotubes and graphene for logic devices, sensors and novel quantum devices at cryogenic temperatures. Finally, the main challenges and extensive prospects for the further development of carbon-based cryoelectronics are summarized.

Cite this article

Xiaosong Deng , Ning Kang , Zhiyong Zhang . Carbon-based cryoelectronics: graphene and carbon nanotube[J]. Chip, 2023 , 2(4) : 100064 -18 . DOI: 10.1016/j.chip.2023.100064

INTRODUCTION

The development of silicon-based integrated circuits (Si-ICs) has revolutionized information technology worldwide over the last 60 years. Si-based complementary metal oxide semiconductor (Si-CMOS) circuits, as the core of Si-ICs, have doubled their integration density every 18 months according to Moore's Law1. However, with the exponentially increasing complexity of processing technology, the scaling down process has begun to decelerate, and the increased integration has also been experiencing clock frequency bottlenecks, power walls and memory walls of the von Neumann architecture. While Si-CMOS technology is approaching its performance limits1,2, the demand for more advanced computing performance is still rising in several fields, such as the Internet of Things, big data, artificial intelligence and materials science. Therefore, researchers in science and industry have been exploring new avenues for improving computing capabilities to perpetuate and extend Moore's Law. One promising strategy is cryogenic electronics, which is also demonstrated in the International Roadmap for Devices and Systems (IRDSTM) 2022 Edition, including superconductor electronics, cryogenic semiconductor electronics and quantum information processing3.
The main operating temperature region of modern Si-ICs has been focused in the ambient temperature range. Compared with the performance of ambient-temperature Si-CMOS, that of Si-CMOS below liquid-nitrogen temperature is enhanced, which yields increasing efficiency and computational performance of digital logic computing at cryogenic temperatures, as is schematically shown in Fig. 1a4-6. The reason accounting for the phenomenon above is that, at low temperatures, the increased mobility of the devices results in higher operating speeds7, increased on/off ratios, improved subthreshold characteristics8,9 and lower operating voltages for lower power consumption. Furthermore, the reduced resistance of metal interconnections accelerates signal transmission, and the low-temperature environment moderates the heat dissipation issues of devices, which permits a higher density of integration. On the other hand, the emergence of quantum mechanical effects at low temperatures facilitates the design of innovative quantum electronic devices. For example, highly anticipated quantum computing systems, which operate at millikelvin temperatures, have exhibited supremacy over conventional computing architectures, with multiqubit coherent operations and the successful demonstration of quantum algorithms10,11. However, in order to operate a quantum computer system, some interfaces with the nonquantum world are needed. This means that many bulky backend electronics sit at ambient temperature, as the total number of interfaces in a fridge is capped, which limits the scaling up of quantum computing5,12,12,12,13. To solve this “wiring bottleneck”14-18 researchers at Interuniversity Microelectronics Centre (IMEC) developed an radio-frequency multiplexer19o extract some of those cables and join the qubits in the fridge; this circuit can control the signals to and from multiple qubits. The placement of the control circuit for qubits into a fridge6,15,16,18,20, close to a qubit array, or even the integration of the circuit into a quantum chip17 can circumvent wiring bottlenecks and improve the efficiency of manipulation and error correction on qubits due to the closer signal transmission distance21,22. Moreover, a reduction in thermal noise at low temperatures can improve the accuracy and signal-to-noise ratio of the detecting systems, enabling superior quantum sensing with quantum effects. Precise and localized detection of electromagnetic fields and temperatures in cryogenic environments is also required for maintaining the proper operation of cryogenic electronics. Electronic devices for cryogenic temperatures, such as low-noise amplifiers (LNAs)6,23, can also be applied in the fields of deep space, astronomy and biology, as well as industrial and scientific researches at cryogenic temperatures. A typical architecture of quantum computing in a refrigerator is shown in Fig. 1b5,15,15,15,24, where cryogenic amplifiers, cryogenic sensors and cryogenic circuits are equipped at different temperature stages. Therefore, driven by the above demands, the exploration of modern electronics for use in the cryogenic regime has continued to increase (summarized in Fig. 2).
Fig. 1. a, Schematic illustration of the transfer characteristics of a field-effect transistor (FET) at ambient and cryogenic temperatures. b, A typical architecture in a dilution fridge for quantum computing.
Fig. 2. Application of cryoelectronics.
Despite improved performance of semiconductor devices is achieved at low temperatures, efforts are still needed to sustain the proper operation of electronics and their potential release in such regimes. Firstly, due to the temperature-dependent characteristics of materials and devices, the relative characteristics of individual devices change dramatically when Si-CMOS circuits operate at low temperatures, and thus, substantial reengineering is required for the models of devices that make up the control circuitry25. Secondly, the variations and other deterioration effects resulted from the incomplete dopant ionization, carrier freezing and undesirable kink effects at low temperatures mainly caused by injection doping in Si-CMOS, will lead to circuit failure26,27. In addition, there also exist other problems at low temperatures, such as the increase in band gap of the semiconductor material due to the significant disappearance of thermal spreading, the appearance of quantum effects7,28, the deterioration of impedance matching resulting from the increase in the quality factor of passive devices as well as the decrease in thermal noise which results in a higher requirement of noise management for more prevalent 1/f noise6,18,28,29. The special mechanism of quantum computing requires the prevention of charged defects, which can lead to the failure of the dynamic and static properties of qubits, so higher material purity and interface quality are demanded30-32. On the other hand, the cooling power for every temperature stage in the fridge is finite. Commonly, the control chip is placed in the 3 to 4 K temperature regime for obtaining a higher power budget, which sets the upper limit of power consumption of the chip33. In particular, the dynamic power consumption of devices is required, as the leakage current of static power consumption is significantly suppressed at low temperatures7. Therefore, in order to reduce dynamic power consumption, ultralow operating voltage (dynamic power consumption is proportional to the third power of the voltage) or adjustable threshold voltage characteristic is needed by cryogenic electronic devices. The thermal dissipation of resistive elements also needs to be limited to attenuate the phonon-heat flow interference from the electronics to qubits. Moreover, for achieving efficient design of future large-scale quantum computing architectures, three-dimensional (3D) integrated control modules are required by two-dimensional (2D) arrays of qubit cells to improve system efficiency and integration5.
As a result, the materials and devices for cryogenic electronics are required to be featured with precisely predictable temperature-dependent properties, low dynamic power consumption, fast response time, high interface quality and 3D-integratable design. Although bulk Si-CMOS at cryogenic temperature experiences increased threshold voltages and kink effects due to the carrier freeze-out, it is either reduced or absent in more mature and advanced CMOS technologies34,35. Low-temperature quantum control chips and integration with qubit in advanced Si-CMOS technology have been successfully demonstrated at 4 K5,15,16,36. In addition to bulk Si-CMOS, the fully-depleted silicon on insulator (FDSOI) transistor with an external back gate provides an additional knob for adjusting the threshold voltage, to compensate for the increased threshold voltage at cryogenic temperature, and can be switched between low power and high performance, which is a potential candidate for cryogenic electronics37. An integrated quantum chip based on 22 nm FDSOI technology has been reported38, but extensive data analysis and compact model are still in progress to design reliable and optimized cryo-FDSOI-based circuits39-42. High-electron-mobility transistor (HEMT), which is realized in two-dimensional electron gas (2DEG)-based heterojunctions with high-quality material interfaces, could achieve high electron mobility at 4 K without the freezing out of carrier due to the low effective mass of electrons, and have been widely investigated for quantum transport. GaAs-based HEMT preamplifier grown by molecular beam epitaxy is commercially available with the power consumption as low as 0.3 mW at 4.2 K43. However, the self-heating of the InGaAs channel limits the noise reduction at cryogenic temperature44. LNA based on InP HEMT dominates the application at 1 to 200 GHz and 5 to 15 K, which is superior to other transistor technology, such as Si-CMOS, SiGe heterojunction bipolar transistor, GaAs or GaN HEMT45. However, HEMT technology does not meet the requirement for temperature below 4 K due to the excess power budget.
In addition to driving ambient-temperature Si-CMOS to low-temperature applications, another way is to find new electronics materials, especially low-dimensional materials that are already of interest in the field of ambient-temperature electronics. Among the promising candidates, carbon-based materials, including carbon nanotubes (CNTs) and graphene, are well suited for the development and application of cryogenic electronics due to their excellent electrical, thermal and mechanical properties, low dimension, ultralight mass and ultraclean surface.
In the current work, the criteria used for materials and devices were analyzed, and the research progress of CNTs and graphene for cryogenic electronics was discussed, excluding optoelectronic devices and the construction of qubits. Several sections are included in this review. The first section is the introduction, which presents the background of cryogenic electronics development and the problems associated with Si-CMOS at low temperatures. The second section describes carbon-based materials, including CNTs and graphene, and their material properties and compatibility for cryogenic temperature applications. The third section summarizes the recent progress of carbon-based cryogenic electronics, including logic devices at low temperature, quantum dot devices, temperature sensors, nanoelectromechanical devices, Hall devices and superconducting Josephson junction devices. In the final section, the summary and outlook are presented. It is expected that this review will shed new light on the development of carbon-based cryogenic electronics.

Carbon-based nanomaterials

Low-dimensional carbon-based materials consist of pure carbon atoms, mainly including fullerenes, CNTs and graphene; the latter two materials have received considerable attention in the post-Moore era for their electrical development. The primary advantages of low-dimensional carbon-based materials for cryogenic electronics are discussed in the current work. A brief description of the electronic structure is given below, while the detailed properties of graphene46-48 and CNTs49,50 can be found in the relevant reviews.

Graphene

Graphene is a 2D material consisting of sp2-bonded carbon atoms in a honeycomb arrangement. The energy band structure shown in Fig. 3a is known as the Dirac cone. In k-space, the conduction and valence bands of graphene are in contact at six points, i.e., the Dirac points, and thus, graphene is a semimetal with a zero-band gap. Unlike the parabolic dispersion relation in conventional 3D bulk materials, the linear dispersion relation of graphene around the low-energy region of the Dirac point contributes to electron motion with novel relativistic quantum phenomena described by the Dirac equation. Therefore, the electrons in graphene are theoretically Dirac fermions with an effective mass of zero, which can induce many exotic properties, such as the half-integer quantum Hall effect and Klein tunneling. However, the zero-band gap of graphene limits its electronics applications. There are some approaches to open the band gap of graphene, such as “shearing” the material into a narrow ribbon (0.1 to 3 eV) and breaking the spatial symmetry by a strong electric field in multilayer stacks. The electronic properties of a graphene narrow ribbon (GNR) depend highly on its width and edge structure. Two methods are generally adopted to fabricate GNRs, top-down “cutting” and bottom-up assembly, the latter of which permits atomically precise growth control by welding different precursors51,52. However, the scalable synthesis and fabrication of narrow GNR devices still remains a challenge, and GNRs with nonideal edges induce severe scattering and thus drastically degrade the carrier mobility and saturation velocity. Although edge passivation techniques can be adopted to suppress scattering, such as the use of h-BN, further improvement in the performance of GNR-based devices is still needed.
Fig. 3. Electronic structure of graphene (a) and carbon nanotubes (b). Reprinted with permission from ref.50. © 2015 American Physical Society.

Carbon nanotubes

CNTs are considered to be quasi-1D hollow cylindrical structures which are formed by wrapping a single graphene sheet into a cylinder. The band structure of a CNT is defined by a series of k lines cut on the graphene Dirac cone due to the radial periodic quantization condition and determined by chiral indices (n, m) during convolution, as shown in Fig. 3b. The band gap of a CNT is zero without other secondary effects and exhibits metallic properties when the quantized line passes through the Dirac point (n − m = 3a, a is an integer); otherwise, it has a finite band gap of approximately 0.7 (eV)/D (nm) and exhibits semiconducting properties, where, D is the diameter of the CNT. Thus, the ratio of metallic to semiconducting CNTs is 1 : 2 in the natural case. The electronic structure of CNTs can be adjusted by multiple dimensionalities, such as electric fields, magnetic fields and stress, for novel applications. Semiconducting CNTs are mainly used as channel materials and widely applied in the field of electronics, while metallic CNTs are more suitable for the study of quantum transport. Customized chiral growth of CNTs, even on a single tube, can be employed to optimize the performance of target functional devices. Moreover, network and parallel arrays of purified semiconducting CNTs have shown great potential in large-scale ICs.
Carbon-based materials exhibit the advantages of higher mobility, thermal conductivity, current density and saturation velocity, as are summarized in Table 1. For cryogenic electronics, its is necessary to understand the temperature-dependent properties of materials, such as carrier density, scattering mechanisms, noise, and thermal expansion. Carbon-based materials not only demonstrate the potential to outperform Si-CMOS in ambient-temperature electronics, but also provide unique advantages in cryogenic electronics:
Table 1. Comparison of electronical parameters of Si-based and carbon-based materials.
Empty Cell Si CNT49,50 Graphene46,49
Mobility (cm2 V−1 s−1) 1600 (electron) 500 (hole) 106 106
Thermal conductivity (W m−1 K−1) 230 3500 5000
Band gap (eV) 1.12 0-2 0
Current density (A cm−2) 120 109 108
Saturation velocity (cm s−1) 107 4 × 107 4 × 107
1.Weak temperature-dependent material properties and doping-free technology enable carbon-based electronics to operate properly at cryogenic temperatures, moreover lower power consumption is achieved compared with Si-CMOS;
2.Low-temperature process technology allows for monolithic 3D integrated chips, and the higher thermal conductivity mitigates heat dissipation issues, thereby facilitating an increase in device density;
3.Nanometer-scale carbon-based materials are convenient for the design of quantum dot (QD) devices and single-electron transistors (SETs)53 for sensitive electric field, magnetic field and temperature detection;
4.Carbon-based quantum devices are featured with higher coherence times and additional interference with qubits is avoided due to their high stability with strong carbon‒carbon bonds, moreover lower defect density is realized due to ultraclean and nonsuspended bond surfaces;
5.Suspended carbon-based materials facilitate the fabrication of excellent electromechanical sensors, which benefit from ultralight mass and is conductive to detect the effect of small forces or individual charges reaching the quantum limit;
6.Based on their strong interactions with substrates, carbon-based low-dimensional materials can be functionalized with a variety of substrates to customize device characteristics at variable temperatures and cryogenic temperatures.
7.The unique quantum mechanical properties can be used for the design of novel devices, such as hydrodynamic electrons54,55, controllable quantum interference56-58 topological edge states59, quantum electrodynamic60-63 and so on48,50.

TRANSISTORS

Field-effect transistors (FETs) are the core components of modern logic computing circuits, where carbon-based nanomaterials have demonstrated great potential at ambient temperature from individual devices to circuits and chips64-72. Recent research studies have focused on individual devices and simple circuits, moreover the characteristics of carbon-based FETs at cryogenic temperatures are discussed below.

CNT-FETs

CNTs are potential candidates for extending Si-CMOS and have demonstrated the potential to surpass the performance of Si-CMOS of the same size73ue to their excellent electrical properties. Benefitting from the 1D geometry of CNTs, the Fermi pinning effect is moderated74,75. The polarity of CNT-FETs can be defined by the different contact metals, which determine the type of carriers that can be injected more easily into the CNT channel, instead of the injection doping in conventional Si-CMOS. Thus, contact metals with appropriate work functions can be used for the fabrication of p-FETs (Pd76,77) and n-FETs (Sc78,79, Y80, Hf81) while maintaining a high quality of ohmic contact down to 4.3 K76,78,80. The technology circumvents the performance loss and strong temperature-dependent electrical characteristics caused by dopant freeze-out and incomplete ionization at cryogenic temperatures. The transport properties of devices with ideal ohmic contact are dominated by the scattering mechanism arising from the dielectric environment of CNTs, such as lattices, carriers, gate stacks and substrates. The electron mean free path, LMFP, of CNTs can exceed microns at room temperature due to the ultraclean and robust carbon‒carbon bonds, and metallic CNTs exhibit a longer LMFP82,83. Therefore, CNT-FETs can work near the ballistic transport regime with the ideal performance at room temperature as long as the channel length L < LMFP76-84. When phonon scattering dominates the temperature-dependent characteristics of devices, the inelastic scattering between electrons and acoustic phonons is suppressed inducing an increase in current; however, temperature-independent Coulomb scattering and roughness scattering dominate at cryogenic temperatures7. As a result, the LMFP of a device tend to increase with decreasing temperature and subsequently saturates due to freezing out of the phonons and temperature-independent elastic scattering85, which extends the parameter space of the low-temperature ballistic device based on CNTs.
Lower power consumption is another important requirement for cryogenic electronics. The finite cooling power of a fridge limits the power ceiling of circuits, and higher design flexibility can be achieved by low-power electronics within the power budget at cryogenic temperatures. The operating voltage of CNT-FETs can be reduced to less than 0.6 V, which significantly reduces the dynamic power consumption63. The energy gap and effective mass of CNTs used for the FET channel (∼0.5 eV of 1.5 nm diameter; 0.01 to 0.1 m0) are smaller than those of Si (1.12 eV; > 0.15 m0), and hence demonstrating higher static power consumption owing to the higher leakage current at room temperature86,87. However, cooling compensates for this drawback since the thermal excitation current is suppressed in the off state, which directly results in a significant increase in the on/off ratio from 105 (300 K) to 109 (4.3 K), as shown in Fig. 4a88. Moreover, the subthreshold swing (SS) is simultaneously reduced from 100 mV/dec (300 K) to 30 mV/dec (4.3 K) in Fig. 4b with a standard linear dependent-scaling law, which demonstrates an increase in the switching speed and a reduction in the power consumption of CNT-FETs at cryogenic temperatures. Therefore, CNT-FETs are advantageous for cryogenic applications with improved performance and the avoidance of negative effects from dopants. There can be further optimization of device structure and processing due to temperature-dependent movable charge traps in the gate stacks, and the effect of a substrate can lead to variations in threshold voltage and performance.
Fig. 4. Carbon nanotube-based FET at cryogenic temperatures. a, Temperature-dependent ON- and OFF-state currents. The inset is a schematic diagram of the CNT FET device with a self-aligned top gate structure. b, Transfer characteristics of the CNT FET measured at 300 K and 4.3 K88. c, Photo of the CNT FET embedded in RF pads. d, fT versus gate voltage Vgs at several temperatures90. e, Schematic energy band diagram for the CNT FET at different bias voltages. f, Schematic diagram of the CNT film-based FET device with a self-aligned top gate structure. g, SEM image of CNT five-stage ring oscillators (ROs) based on the self-aligned FET. h, Comparison of temperature stability between different devices. i, The relative temperature coefficient of the oscillation frequency (f0) in five-stage ROs101. Reprinted with permission from refs.88,90,101. © 2011, 2012, 2021 Wiley-VCH GmbH.
The 1D geometry of CNTs theoretically and experimentally yields a very low intrinsic (quantum) capacitance per tube of 60 aF/µm, and the transit frequency (fT) of CNT-FETs exceeds 110 GHz/µm in the ballistic limit89, which is an attractive device for analog high-frequency applications. Multiple CNTs without semiconducting purification can also be used for radio frequency (RF) applications as long as the intrinsic voltage gain is above unity89. The RF performance is characterized in Fig. 4d at cryogenic temperature in a fork-finger FET structure (Fig. 4c) with thousands of single-wall CNTs90. The weak temperature dependence of fT (8 GHz at 300 K; 9 GHz at 77 K) is associated with the temperature dependence of the gate/source capacitance Cgs. The maximum intrinsic voltage gain increases (gm/gds) with decreasing temperature (1.53 at 300 K; 2.34 at 10 K), which demonstrates the potential for analog power applications operating at cryogenic temperatures. The noise factor is improved by the reduction in thermal noise in the gate and source resistance at 10 K90. However, in terms of direct current (DC) characteristics, the on-state current does not behave like the ohmic behavior in a single CNT due to the presence of a Schottky barrier (SB) between the semiconducting CNT and the metallic CNT.
For large-scale ICs, the development of CNT electronics requires that materials be featured with high semiconducting purity and wafer-level homogeneity. Currently, solution-derived randomly oriented CNT films with the purity of 99.9999% and large area uniformity91re proved to be the most mature CNT materials for electronics. Network-CNT film-based large-scale ICs have also been reported92-94. The transport mechanism in the network-CNT film becomes complex compared with that in the single CNT. In network-CNT films, carriers are not only transported in individual CNTs but also hop across the junction between individual CNTs, which tends to be more complicated considering from the aspects of the angle, chirality, disorder and field screening of CNTs. The films can be viewed as a disordered semiconductor whose macroscopic conductivity is limited by carrier hopping between the conducting elements95. In addition, the semiconducting purification process of network CNT films requires a polymer to be wrapped around CNTs to distinguish between metallic and semiconducting CNTs. This also leads to changes in the electrical characteristics of network CNT-based devices. Both the on-state current and carrier mobility in the network-CNT film decrease with decreasing temperature, as does the hysteresis96. The fluctuation-induced tunneling97,98 model can describe the transport behavior instead of the variable-range hopping (VRH)99,100 model in a pure-network-CNT film (without semiconducting purification). Transport barriers are formed between polymer-wrapped CNTs to block inter-tube charge transport, leading to the domination of thermal excitation at high temperature, while the domination of temperature-independent tunneling at low temperature. The temperature-dependent performance of CNT FETs is also suppressed by the reduction ratio of phonon-assisted tunneling due to narrowed barriers on the contact and inter-tube at large bias voltages, as shown in Fig. 4e. The temperature dependency of the network-CNT-based FET (Fig. 4f) can be weakened by the combination of two temperature-dependent transport mechanisms on the condition that the opposite temperature-dependent effect of phonon scattering is taken into account. Consequently, the network-CNT-based FET exhibits higher temperature stability than the single CNT-based FET and Si-based FET, as shown in Fig. 4h101. The maximum oscillation frequency (fo) of five-stage ring oscillators (ROs) constructed by the above temperature-stable FETs (Fig. 4g) can reach 1.5 GHz, which could meet the requirement of amplification or detection of spin qubits. Benefited from the improvements in materials and processes, a higher oscillation frequency of 5.54 GHz at room temperature based on network-CNT film has been achieved94, which can cover the frequency of superconducting qubit (typically between 4 ro 6 GHz). The oscillation frequency varies within 0.5% in the temperature range of 300 to 80 K, as shown in Fig. 4i101. Although the network-CNT film electronics at cryogenic temperature mainly focus on an individual device and are still in progress, the weak-temperature dependence of network-CNT film electronics allows us to give qualitative predictions for the electronical performance101: the logic circuits at terahertz frequencies94,102, the RF amplifiers with high gain and good linearity in the terahertz band103,104, and the more highly integrated cryogenic chips68,92,93.

Graphene-FETs

There is a finite residual conductance even at the Dirac point where the density of states (DOS) is zero105, which limits the on/off ratio of graphene FETs to approximately 2-20 at room temperature. Therefore, it is of great challenges for graphene to be used as a channel material in digital FETs. However, graphene-based devices are excellent candidates in high-frequency areas, such as amplifiers, mixers and high-performance RF FETs, owing to their ultrahigh carrier mobility and saturation current71,72. In addition, graphene can also be used as an interconnection material106r an antenna (>3.5 GHz)107. As a 2D material, all charge transport occurs at the graphene surface, which leads to high sensitivity to the environment through metal contacts, gate stacks and substrates, leading to a dramatic effect on transport behavior. The characteristics of a graphene-FET with a Pd contact in the temperature range of 300 to 6 K are shown in Fig. 5a. Here, the current increases with decreasing temperature, and the inset demonstrates the enhanced carrier mobility at low temperature. The contact resistance (Rc) extracted in the graphene-FET exhibits anomalous temperature-dependent behavior that increases with increasing temperature, as shown in Fig. 5b108. While, Rc decreases with increasing temperature in conventional metal-semiconductor junctions due to the reduction in the effective SB height and the enhancement of thermionic carrier emission. The anomalous behavior of Rc arises from the competition of characteristic lengths between the ballistic and diffusive transport at the contact of metal electrodes and graphene. The ratio of two characteristic lengths (λ: mean free path; λm: metal-graphene coupling length) varies with temperature, leading to a variation in metal-graphene transmission, TMG, shown in Fig. 5c. The lower Rc at low temperature is attributed to the domination of ballistic transport, where, TMG = 75%108. Meanwhile, the suppressed phonon scattering increases the carrier mobility with ohmic contact at low temperature48.
Fig. 5. Graphene-based FET at cryogenic temperatures. a, Temperature-dependent transfer characteristics of a graphene-FET. The inset is the measured electron and hole mobilities as a function of temperature at a carrier density. b, Measurement of the Pd-graphene contact resistance as a function of temperature at different gate voltage values. c, Calculated transmission efficiency TMG, determined using Matthiessen's rule, as a function of the ratio of the mean free path (λ) and metal-graphene coupling length (λm). The inset is the Pd-graphene contact, showing the transfer length LT. Reprinted with permission from ref.108. © 2011 Nature Publishing Group. d, Temperature dependence of the carrier mobility in the graphene FET fabricated on NFC polymer substrates. Reprinted with permission from ref.110. © 2009 American Chemical Society. e, Schematic diagram of a top-gated graphene r.f. transistor on the DLC substrate. f, Cross-sectional TEM image of a graphene transistor with a gate length of 40 nm. g, Current gain as a function of frequency for three channel lengths at 4.3 K. The values of fT are 28 GHz, 70 GHz and 140 GHz. h, Summary plot of the temperature dependence of fT for three different devices; little temperature dependence was found. Reprinted with permission from ref.115. © 2011 Nature Publishing Group.
The discrepancy in temperature-dependent mobility can also be induced by the different substrates of graphene devices due to differences in scattering intensity109. For example, the Coulomb scattering-dominated mechanism leads to a weak temperature dependence on a silicon substrate. However, on a polyhydroxystyrene-based polymer (NFC) substrate, phonon-dominated scattering contributes to strong temperature-dependent behavior, and the substantially reduced Coulomb scattering leads to higher mobility, as shown in Fig. 5d71,110. Minimal scattering can also be obtained with cleaner substrates, such as h-BN or suspended graphene, resulting in higher mobility and higher RF performance, as well as weaker temperature-dependent devices109,111. Such ultraclean substrates can also greatly suppress noise in graphene-based devices for low-noise measurements and attenuate interference with qubits112-114. A graphene-based RF FET on a diamond-like carbon film grown on SiO2 (Fig. 5e and 5f) with a channel length of 40 nm exhibits an fT of 155 GHz, as shown in Fig. 5g115. There is no significant variation in fT from 300 to 4.3 K in Fig. 5h, which demonstrates the potential of graphene with gigahertz capabilities over a large temperature range. Although the low on/off ratio does not affect the use of RF FETs, the performance can be limited by the high leakage current72. In addition to traditional FETs and RF FETs, graphene can also be utilized to tunnel FETs for steeper SS.
For clarity, the above electronical metrics of carbon-based devices at cryogenic temperature are compared with the latest Si-based cryoelectronics and summarized in Table 2, including 14 nm fin field-effect transistor (FinFET), 22 nm FDSOI and 28 nm FDSOI technology38,40,116.
Table 2. Comparison of electronical metrics of Si-based and carbon-based devices at cryogenic temperature.
Empty Cell Si-based34,40,116 CNT-based88,90,101 Graphene-based115
Mobility (cm2 V−1 s−1) 200-300 (5 K)a 5500 (4.3 K)d 4000 (6 K)
SS (mV dev−1) 20 (5 K)a 30 (4.3 K)d
fT (GHz) 494/337 (n/p 5.5 K)b 9 (77 K) 8 (10 K)e 155 (4.3 K)
fmax (GHz) 497/372 (n/p 5.5 K)b 9 (77 K) 8 (10 K)e
gm/gds 20.1/12.4 (n/p 70 K) 19.3/12.4 (n/p 5.5 K)b 9 (77 K) 2.3 (10 K)e
τP (ps) 10 (4.3 K 101-stage)c 90 (80 K 5-stage)e
fO shift ∼7% (300-40 K)c ∼0.5% (300-80 K)e

fmax: power gain cut-off frequency; τP: stage delay; fO shift: temperature dependence of oscillation frequency.

a: 14 nm FinFET; b: 22 nm FDSOI; c: 28 nm FDSOI; d: single CNT; e: network-CNT film;

QUANTUM DOT DEVICES

One of the main advantages of carbon-based nanomaterials is their low-dimensional geometry, which allows for the scaling down of Si-ICs while maintaining high electrical performance. Alternatively, the electrical performance of conventional bulk Si at thicknesses less than 3 nm is greatly degraded by strong surface scattering. Furthermore, novel quantum-mechanical electronic devices can be developed, where quantum effects arise from the reduced dimensionality, especially at low temperatures. In a low-dimensional structure, a zero-dimensional QD combined with the long quantum coherence time (spin, valley and Kramers) of carbon-based materials50,117, facilitates the studying of electronic states, quantum transport and coherent qubits. SET based on QDs can be developed as a sensitive sensor to detect charge states, the external electromagnetic environment and temperature, etc. CNTs and graphene, by restricting the electron transport in only one or two dimensions, are convenient for building QDs with high quality and small size; this structure is much smaller than that of bulk Si or 2DEG. Moreover, carbon-based low-dimensional materials can provide defect-free lattices at the microscopic scale, and replaceable substrates offer a wider selection of dielectric environments, so these materials are ideal platforms for fabricating QD devices. The approaches of limiting electron transport in micro- and nanoprocessing technologies usually induce potential barriers to form a longitudinal constraint, which can be established by electrostatic potential on gate voltages or a SB at contact. Detailed information on the classical application of a SET as an electrostatic detector can be seen in other reviews50,118,119. The following section focuses on the latest applications of QD-based SET structures.

SET imaging

If the operating point of a QD is placed on the slope of the Coulomb blockade peak (maximum transconductance), then a weak change in potential and capacitance will induce a sensitive variation in the charge of the QD, which contributes to drastic changes in the current through the QD, as shown in Fig. 6a. The effect can be employed to detect any external changes in potential and capacitance, such as electronic and mechanical effects. The charge sensitivity of a graphene-SET can reach approximately 10−3 e/Hz0.5 at cryogenic temperatures120,121, and an RF-SET based on a CNT with a high operating frequency of 754.2 MHz could achieve a charge sensitivity of 2.3 × 10−6 e/Hz0.5 over a bandwidth of 85 MHz at 4.2 K by reducing the low-frequency flicker noise, as shown in Fig. 6b122. Moreover, it can act as a noninvasive local detector due to the detection process without charge transfer or mechanical contact on the sample123. However, the cost of ultrasensitive detection is that any nonideal interference, such as photoresist residues and defects in the dielectric environment, can lead to electronic disorder in the quantum system of a detector and detector failure. To avoid chemical contamination, researchers have developed a dry transfer process for CNTs124-130 to obtain ultraclean intrinsic devices. The SET made by this method can circumvent external interferences to become an ultrasensitive sensor. S. Ilani and coworkers developed a locally tunable ultralow disordered electron system based on a CNT SET with the adoption of a customized low-temperature (4 K) scanning probe microscope. These researchers precisely transferred CNTs in situ to a gated array, as schematically shown in Fig. 6c127. A CNT SET on a movable probe cantilever allows for the noninvasive detection of fragile electronic states and then maps the charge states with spatial locations. Thus, an imaging technique, capable of real-time and real-space visualization, is realized for electronics, such as electronic Winger crystals and interacting hydrodynamic electron flow54,55,123,131,132, as shown in Fig. 6d-f. In addition to imaging the above equilibrium mechanism, the voltage drop and current density distribution of flowing electrons in 2D can also be imaged simultaneously (in Fig. 6g) with nanoscale spatial resolution (∼100 nm) and microvolt voltage sensitivity. The technology can work from ambient to cryogenic temperature, tolerating strong magnetic fields due to the SET being strongly thermally coupled to the helium bath. The SET probe induces a local carrier density fluctuation at 109 cm−2, which is smaller than the disorder fluctuation and can be negligible133. This technique allows imaging of nondiffusive flow buried in nanostructures and a full investigation of the transport mechanism caused by disorder, electron-electron interactions and scattering mechanisms, where localized electron flow mapping can reveal critical information beyond conventional methods. The sensitivity of the voltage and current density are 2 µV/Hz0.5 and 10 nA/(µm/Hz0.5) for typical carrier densities in semimetals of n = 1011 cm−2 133.
Fig. 6. CNT-based SET for noninvasive imaging. a, Mechanism of the SET detector. Reprinted with permission from ref.123. © 2013 Nature Publishing Group. b, Charge sensitivity of a CNT-based RF-SET at 4.2 K. Reprinted with permission from ref.122. © 2008 AIP Publishing. c, Schematic diagram of a nanoassembly technique for creating clean and complex CNT-based devices127. d, Schematic diagram of a visualization probe based on CNTs. e, Imaging ballistic and hydrodynamic electron flow profiles54. f, Hydrodynamic electrons flowing in a Corbino disk without Landauer-Sharvin resistance55. g, Imaged current streamlines (black isocontours) superimposed on the zero-field voltage contours (color)133. Reprinted with permission from refs.54,55,127,133. © 2013, 2019, 2022 Nature Publishing Group.

Electromagnetic field sensors

The same geometry of CNT QDs can work not only in SET mode but also in the charge qubit mode for ultrasensitive detection of electric and magnetic fields134. The construction of a two-level charge qubit based on the lifted degeneracy of the spin and valley in a finite parallel magnetic field is shown in Fig. 7a. The detection signal of the electromagnetic field can be read with the adoption of the simple approach of a conductivity measurement. The sharper coherence-limited transition of qubits significantly improves the potential sensitivity compared with the thermally broadened Coulomb blocking of the SET, as shown in Fig. 7b. The potential sensitivity of ∼600 nV/Hz0.5 is beyond the SET mode133, and the magnetic sensitivity of ∼39 µT/Hz0.5 can operate at 3-8 T, the magnetic sensitivity of which is close to a nitrogen-vacancy (NV) centre magnetic sensors with the sensitivity of 3 µT/Hz0.5 at 6 K and the same nanometer-scale spatial resolution135. The detection performance can be further enhanced by optimizing the contact quality and fluctuation of the magnet. Moreover, the back-action interference of qubit sensor on the sample is also less than that of the SET sensor.
Fig. 7. CNT-based qubit for ultrasensitive electromagnetic sensing. a, Charge stability diagram. The coherence-limited transition of qubits between |B>, |D> and |N> is used for electromagnetic sensing. b, Comparing SET and qubit performance in sensing DC electric potential and DC magnetic field. Reprinted with permission from ref.134. © 2020 Nature Publishing Group.

TEMPERATURE SENSORS

Highly sensitive temperature-detecting technology can be adopted not only to monitor the temperature in a cryogenic system but also to understand the thermal transport of complex devices to address the heat-dissipation bottleneck caused by increased integration and clock frequency136. The excellent thermal properties and stability of carbon-based materials are beneficial for temperature sensors, especially at extreme temperatures. Moreover, the nanometer sacle of carbon-based materials could provide the advantages of local accurate sensing at the nanoscale, reducing the proximal disturbance to the environment, and low power consumption, which is essential in a sophisticated thermal flow system at cryogenic temperatures137. Therefore, mesoscopic temperature sensors based on carbon-based materials are featured with remarkable advantages in cryogenic temperature. The main mesoscopic experimental techniques for thermometry include resistance, normal-insulator-superconductor transition, Coulomb blockade, noise and Josephson junctions (JJs)136. It has been reported that temperature sensors based on the temperature-dependent resistance of CNT films are endowed with stability and functionality over a wide temperature range and down to 2 K138-143. For precise measurements in cryogenic thermometry, the magnetic sensitivity of a sensor, as one of the most important measurement uncertainties, needs to be quantified, and then the temperature sensor can be calibrated at a finite magnetic field. The magnetic dependence of CNT films can be approximated by the Mott law for three-dimensional variable range hopping (3D-VRH) and correlated with the chirality of CNTs142. Graphene-based resistive temperature sensors, operating from 295 to 20 K, are far more sensitive than resistive (metal) temperature sensors below 50 K144.
Another calorimetry method is based on Johnson-Nyquist noise (thermal noise), which is an excellent and nearly noninvasive probe of electron temperature for nanoscale devices with minimal backaction heating. Noise thermometry can reach the thermodynamic limit, which is preferable for operating at cryogenic temperatures145. The electron gas in graphene is expected to exhibit extreme thermal isolation owing to the ultrahigh phonon thermal conductivity, single-atom thickness, low electron density, linear dispersion and weak electron-phonon coupling146-148. The weak thermal coupling and small electronic heat capacity (rapid thermalization), resulting from a vanishing DOS at the charge-neutrality point, leads to a high sensitivity of the graphene-based bolometer and calorimeter. Ultrasensitive measurements at cryogenic temperatures could be achieved by two-terminal-noise thermometers based on graphene with a thermal noise mechanism145,149-151. Microwave-frequency noise thermometry with a sensitivity of 2 mK/Hz0.5 and a bandwidth of 80 MHz based on graphene at 2 K has been reported, as shown in Fig. 8a145. However, the above mechanisms, in which the device under test is also used as the thermometer, are limited to diffusive conducting states with low energy loss to phonons and low contact resistance, which restricts the applications of graphene152. Thermal transport measurements are beneficial for clarifying the nature of strong electron-electron interaction effects in low-dimensional systems, such as electron Wigner, strongly correlated insulators and 2D magnets. This measurement requires accessing the dissipative properties of electrons separated from the prevailing phonon contribution in thermal transport, which is especially challenging in low-dimensional systems. To measure other materials and the nondiffusive regime, a nonlocal measurement method on a multiterminal device is applied to independently measure the electron-thermal transport behavior in multidimensional systems, such as graphene, CNTs and the microscale bulk electrical insulator RuCl3, with a precision of approximately 1% of the thermal conductance quantum at 5 K, as shown in Fig. 8b152. Moreover, a superconductor-graphene-superconductor Josephson junction bolometer embedded in a microwave resonator shows the energy resolution of a single 32-GHz photon and a short thermal time constant, reaching the fundamental limit imposed by intrinsic thermal fluctuation at 0.19 K153. Contrastively, NV centre-based thermal sensors achieve 97% temperature accuracy from 300 to 80 K154nd an ultra-high temperature sensitivity near ambient temperature of and 2 mK/Hz0.5 155,156.
Fig. 8. Graphene-based noise thermometry. a, The measurement circuit of a two-terminal microwave-frequency noise thermometry. Reprinted with permission from ref.145. © 2012 American Physical Society. b, Circuit and geometry for four-terminal nonlocal noise thermometry152. Reprinted with permission from ref.152. © 2021 Nature Publishing Group.

NANOMECHANICS

Mechanical resonators are potential candidates for applications in mass sensing, quantum motion detection and RF signal processing, etc. The resonator performance can be improved by increasing the resonant frequency and decreasing the resonator mass. The ultralight mass and excellent mechanical properties of carbon-based materials provide an attractive platform for high-performance electromechanical nanodevices, which also exhibits a smaller encapsulation size compared with conventional mass spectrometers. Moreover, the oscillation of carbon-based nanomechanical resonators can be easily tuned by the gate voltage, which is well suited for voltage-controlled oscillators157. The gate-tunable conductance of carbon-based materials enables a fully electrical readout of mechanical motion, which facilitates their use in RF devices such as filters and oscillators158,159. Based on the gate-tunable resonant frequency, carbon-based nanomechanical resonators can be used to achieve parametric amplification so as to improve the sensitivity by preamplifying the motion amplitude through parametric effects before electrical conversion. Experimentally, a frequency modulation of 4.9 MHz/V and a parametric amplification gain of 18.2 dB are realized by the CNT-based resonator, as shown in Fig. 9a160. Consistent with the requirements of high-quality QD-based devices, carbon-based electromechanical devices are typically fabricated in suspension to avoid interaction with the dielectric environment and to protect the ultraclean material surface. Moreover, mechanical motion can strongly couple with charge transport, especially considered in few-electron tunneling behavior161-166. A SET combined with electromechanics is the most sensitive nanomechanical probe with an accuracy close to the quantum limit. One common strategy to improve the sensitivity is to reduce the thermal noise through cooling, which is accompanied by a reduction in the mechanical damping rate. This promotes the detection of ultraweak interactions (such as the spin of individual electrons167rmolecules168) and the study of fundamental processes in condensed states (such as the interaction of a nanoresonant cavity with a superconducting qubit169), with an optimizing-noise readout. The effective sensitivity of the probe is determined by the quantum uncertainty, which relates the minimum mechanical displacement with the minimum applied force for detection. The key to enhancing performance is dependant on a mechanical quality factor Q, i.e., the ratio between the energy stored in the resonant cavity and the energy lost in a single oscillation cycle. Generally, the factor Q and resonant frequency increase with the temperature decreasing from ambient to cryogenic temperature, which is mainly attributed to the difference in the coefficient of thermal expansion between carbon-based and contact materials. Therefore, for achieving proper operation over a wide temperature range159,170-174 or obtaining the optimal performance at a given low temperature, the temperature dependence of the oscillation also needs to be fully understood. Moreover, the presence of nonlinear damping in nanomechanical resonators, such as CNTs and graphene, unlike macroscopic resonators, can degenerate the Q factor of the resonators. A Q factor of 105 was achieved in graphene resonators at 90 mK after minimizing the nonlinear damping175. Both improved readout and quality factor are of great significant for higher sensitivity to electron charges, mass and force. Due to themechanically induced changes in the transconductance resulting from the strong coupling, the charge sensitivity of a CNT-based RF-SET is enhanced from 6 × 10−6 e/Hz0.5 for the static case to 9.7 × 10−7 e/Hz0.5 with an operating frequency of 1.3 kHz at 50 mK176.
Fig. 9. Carbon-based nanomechanical devices. a, Left: Schematic and SEM image of parametric amplification based on a suspended CNT. Right: Resonance frequency and gain as a function of the amplitude of the gate voltage. Reprinted with permission from ref.160. © 2011 American Chemical Society. b, Left: Schematic and SEM image of a nanomechanical mass sensor based on a suspended CNT (diameter 1.7 nm; suspended length 150 nm). Right: Measuring mass resolution at 5.5 K. The red dashed line corresponds to the mass of one hydrogen atom. Reprinted with permission from ref.177. © 2012 Nature Publishing Group. c, SEM image of large-scale arrays of graphene-based resonators. Reprinted with permission from ref.172. © 2010 American Chemical Society. d, SEM image and schematic of coherent phonon dynamics between three graphene-based resonators. Reprinted with permission from ref.187. © 2020 National Academy of Sciences.
A mass detector based on a suspended CNT can reach the sensitivity of 1.7 × 10−24 g, as shown in Fig. 9b, which is close to the mass of a proton (1.67 × 10−24 g) at 5.5 K177. The process of high-current annealing of CNTs is adopted to remove contaminating molecules adsorbed on the surface, resulting in more stable and higher quality detection. Meanwhile, the device can be restored to the initial state after current annealing due to its mechanical robustness and chemical stability. In addition, extending the length of the suspended part of the CNT can amplify the weak force into a considerable displacement more effectively. The force sensitivity in a suspended 4 µm device reaches 12 zN/Hz0.5, When calculating based on the relative height of the driven peak and the thermal resonance at 1.2 K178, the force sensitivity in a suspended 4 µm device could reach 12 zN/Hz0.5. A device with a quality factor of 1.5 × 105 is achieved by suppressed dissipation of mechanical energy, which is attributed to phonon-phonon scattering at 20 mK and suppressed electron motion with Coulomb blocking162. The improved readout technology and stabilized oscillation further induce a quality factor on the order of millions179,180. Based on the above optimization, the detector achieves a displacement sensitivity of 0.5 pm/Hz0.5 and a force sensitivity of 4.3 zN/Hz0.5 at 300 mK181. The large surface area of graphene increases the mass capture efficiency, and the graphene-based nanomechanical resonators are compatible with large-scale implementation, as shown in Fig. 9c172, however, the ultimate mass resolution of graphene is not lower than that of CNTs due to the larger mass173. Therefore, there is a trade-off between extreme resolution in CNTs and higher capture efficiency in graphene. The force sensors at cryogenic temperature based on monocrystal Si182, monocrystal diamond183, monocrystal-strained Si184, hierarchical Si3N4185 and Si3N4 nanostring186lso exhibit ultra-high quality factors and force sensitivity, as summarized in Table 3. Owing to the ultra-small nanometer size and excellent mechanical properties181, the most sensitive force sensors are provided by CNT-based resonators although other competitors show higher quality factors. Electrically tunable coherent phonon dynamics were achieved between three spatially separated graphene-based nanomechanical resonators coupled in series with a Q factor of 1.1 × 105 at 10 mK, as shown in Fig. 9d; this demonstrates that information encoded in vibrational modes can be stored, transmitted, and manipulated in separated spaces187.
Table 3. Comparison of quality factor and force sensitivity of various force sensors at cryogenic temperature.
Empty Cell Q Force sensitivity (N/Hz0.5) T (K)
Monocrystal Si182 1.5 × 105 8.2 × 10−19 0.11
Monocrystal diamond183 6 × 106 5 × 10−19 0.093
Monocrystal-strained Si184 1010 5 × 10−20 7
Hierarchical Si3N4185 1.1 × 109 9 × 10−20 6
Si3N4 nanostring186 2.3 × 109 9.6 × 10−21 0.046
Single CNT181 6 × 106 4.3 × 10−21 0.3
In addition to detecting small forces, the strong electromechanical coupling means that the slightest motion of the CNTs can affect the flow of electron through the device, and thus, a suspended CNT can act as an excellent electromechanical sensor that converts mechanical motion into electron flow, and vice versa. Even the force exerted by a single electron can change the mechanical dynamics, and the displacement can also creat a back-action force, which suppresses and amplifies the thermal vibrational fluctuation, as well as generates self-oscillation, simply by applying a DC current188,189. The suppression of the thermal vibrational fluctuation of the mechanical eigenmode is equivalent to cooling the eigenmode according to the equipartition theorem. Therefore, the delayed back-action force induced by Joule heating from constant current can amplify and attenuate the amplitude of the suspended CNT, the schematic is shown in Fig. 10a. Amplification leads to self-sustaining oscillations, which can “cool” the mechanical mode to only five quanta of vibration energy, as shown in Fig. 10b, and Joule heating is used to cool mechanical vibrations180,190. Forty times higher electron-mediated mechanical cooling is achieved by simply allowing current to flow through the device191. More efficient ground state cooling depends on higher back-action efficiency by a higher transconductance and stronger gate coupling in the devices.
Fig. 10. CNT-based electromechanical resonator. a, Measurement schematic and SEM image of the suspended nanotube. b, Mechanical vibrations are cooled to 4.6 ± 2.0 quanta (n) at Vsd = 0.565 mV. Reprinted with permission from ref.180. © 2019 Nature Publishing Group.

HALL SENSORS

In the absence of long-range impurity scattering, the mobility of graphene is enhanced at a low carrier density48, which is ideal for Hall magnetic detection, while the mobility of most other semiconductor-based 2D electronic systems is decreased at a low carrier density192. Graphene-based Hall sensors have been extensively studied at ambient temperature193. Other high-performance Hall sensors, such as 2DEGs, exhibit significant nonlinearity and voltage saturation at a high field and 1.5 K194, thus limiting their application at high fields. In addition, conventional Hall sensors are not recommended for low-temperature applications due to dopant freeze-out. In contrast, the magnetic sensitivity of graphene gate control devices can be significantly increased at low temperatures. The charge noise in graphene devices can be minimized by encapsulating ultraclean graphene in h-BN so as to reduce the intrinsic charge inhomogeneity and avoid the carrier density fluctuations induced by charge hopping in the dielectric material of the gate-controlled devices. Subsequently, a high carrier mobility at a low carrier density can be achieved195, resulting in an unusually large Hall coefficient and stable sensitivity196. However, the quantum Hall effect in graphene at low temperature poses great challenges for the cryogenic applications of the graphene-based Hall sensors. There is a constant Hall voltage when the magnetic field or carrier density changes in the quantum Hall regime48. Schaefer et al. modulated the carrier density to a regime where the Hall voltage varies with the magnetic field, shown in Fig. 11b, at 4.2 K. As shown in Fig. 11c, the sensitivity reaches 3 µT/Hz0.5 despite the increased low-frequency noise, which is mainly attributed to charge fluctuations between the local and extended quantum Hall states196. ParagrafTM, a spin-out from Colin Humphreys’ group, developed a large-area and high-quality graphene growth technique to produce a robust, low-noise and high-sensitivity (sub 100 nT) Hall sensor. The Paragraf sensor exhibits a highly linear response at 1.5 K, within 30 T and a lower heat (∼pW), as shown in Fig. 11d197.
Fig. 11. Graphene-based Hall sensor. a, Optical microscope image and schematic diagram of the graphene Hall sensor encapsulated in h-BN. b, Magnetic field dependence of Hall resistance in the quantum Hall regime at 4.2 K. c, Hall coefficient RH and magnetic sensing sensitivity as a function of gate voltage Vg at 3 T. Reprinted with permission from ref.196. © 2020 Nature Publishing Group. d, Hall voltage response at 1.5 K of Paragraf's graphene Hall sensor and a commercially available 2DEG sensor between 0 and 30 T. Reprinted with permission from ref.197. © 2021 Paragraf Limited. e, Quantum Hall resistance standard in graphene-based devices compared with GaAs/AlGaAs devices. f, Examples of convenient combinations of relaxed operational conditions in graphene-based devices. Reprinted with permission from ref.201. © 2015 Nature Publishing Group.
One application for graphene Hall sensors is to be used as an improved electrical standard198-201. The quantum Hall effect provides a universal and reproducible standard for resistance, which is theoretically based only on Planck's constant h and the electronic charge e. Benefiting from the massless relativistic particles in graphene, the energy spacing between the first two degenerate Landau levels in graphene is larger than that in GaAs/AlGaAs at the same magnetic field48,200. Hall sensors based on high-quality graphene chemical vapor deposition (CVD) grown on SiC can achieve the resistance standard in relaxed experimental conditions compared with that in GaAs/AlGaAs202. The quantum Hall resistance standard in graphene can be accurately quantized to within 1 × 109 over a wide range of magnetic flux densities, down to low magnetic flux density (3.5 T), at a high temperature (10 K) or with a high current (0.5 mA), as shown in Fig. 11e and 11f201. The condition will be further relaxed with further improvements in graphene growth and device technology.

JOSEPHSON PARAMETRIC AMPLIFIERS

In quantum circuits, the power of the probe microwave is required to be small down to the energy of a few photons so as to avoid the incoherent fluctuations in qubit. Then, the low-power microwave carrying information of qubits at cryogenic temperature (usually below 1 K) needs to be amplified with low noise and high signal-to-noise ratio (usually by amplifier chains), followed by demodulation at room temperature. Meanwhile, the position of the first amplifier closest to the qubits (about millikelvin) optimally eliminates losses between the readout circuit and the amplifier, which also limits the use of conventional LNAs and HEMT amplifiers with milliwatt power beyond microwatt cooling power. Therefore, ultra-low power, ultra-low noise and high gain parametric amplifiers are strong contenders which are preferred to be used as amplifiers, while cryogenic HEMT amplifiers are used at 3 K, followed by LNAs near the room temperature, the schematic is shown in Fig. 1b203. Parametric amplification modulates the nonlinear reactance of the system instead of the resistance in other amplification mechanisms for avoiding thermal noise sources204. The earliest parametric amplifiers were based on varactor diodes205,206, and were realized by JJs in superconducting quantum information, namely Josephson parametric amplifier (JPA), moreover, they are often configured in superconducting quantum interference device (SUIQD) topology based on Al-AlOx-Al tunneling junctions207,208. The total critical current of the SQUID is controlled by the magnetic flux through the loop, which provides a knob to modulate the resonant frequency of the SQUID-JPA. However, the global effect of flux has difficulty avoiding crosstalk issues between different parts of the circuit. Due to the nonlinear inductive nature of JJs, superconductor-normal-superconductor (SNS) junctions are potential candidates for gated JPAs, especially those based on 2D materials. Graphene-based JJs, which benefit from the realization of 2D van der Waals geometries209-211 can tune the junction properties (e.g., critical current) with a local gate potential and have been successfully used in quantum electrodynamic circuits62,63,212,213. At the high gain limit, the output signal of any phase-preserving amplifier comes with at least the noise of half a photon, hω/2. The quantum mechanical limit of the additional noise is the standard quantum limit (SQL). Guilliam Butseraen et al. and Joydip Sarkar et al. implemented a quantum noise-limited JPA with the adoption of a graphene JJ214,215. Graphene encapsulated in h-BN contacts superconducting MoRe to form a SNS junction, as is shown in Fig. 12a. The Josephson inductance is adjusted by the gate potential, and the linear resonance frequency is increased from 2 to 5.5 GHz. As a consequence, graphene-based JPA reaches 3.5 GHz linear resonance gate tunability, 24 dB amplification with a 10 MHz bandwidth and an ultralow 130 dBm saturation power, operating in the quantum limit of noise regime, as is shown in Fig. 12b214. Similarly, a graphene-based JPA in contact with Ti/Al achieves 22 dB amplification in Fig. 12c, as well as a resonant frequency of 1 GHz with a gain beyond 15 dB in Fig. 12d, which exceeds 100 times the amplifier bandwidth with a noise level close to the SQL215. The variable frequency amplifier allows a reasonable selection of amplification frequencies according to the operating frequency of the circuit, especially for qubit readout. Careful optimization of device parameters such as stray inductance and capacitance is required for stable operation of JPAs.
Fig. 12. Graphene-based parametric amplifier. a, Schematic diagram of the graphene JJ-based parametric amplifier. b, Parametric amplification and the measured system noise temperature, which is very close to the SQL (green dashed line)214. c, Parametric amplification in the Ti/Al contacted parametric amplifier. d, Gate voltage tuning of the amplifier215. Reprinted with permission from refs.214,215. © 2022 Nature Publishing Group.

CONCLUSION AND OUTLOOK

Outlook

Disorders and defects in a device greatly affect the transport characteristics since the thermal fluctuations of the environment cool down at cryogenic temperatures, which means higher requirements for both material quality and processing technology. The theoretically calculable material properties and realization of ultraclean material synthesis of carbon-based nanomaterials contribute to the comprehensive investigation of device physics. The excellent properties and doping-free technology of carbon-based nanomaterials are outstanding for applications at low temperature or in a wide temperature range, but an adequate understanding of scattering and noise mechanisms is required first. While verifying the cryogenic-temperature feasibility of fundamental electronic components, the large-area growth of materials needs to be advanced for large-scale integration. The high-purity and chirality-concentrated growth of CNTs216,217 and large-area growth of monocrystalline graphene218,219 can be realized experimentally. High-performance logic electronics based on wafer-level uniformity, high purity and density-controlled aligned-CNT (A-CNT) arrays have demonstrated electrical performance exceeding that of Si-based devices220-222. Moreover, A-CNT-based devices can operate from ambient to cryogenic temperature without apparent degradation, as shown in Fig. 13, which demonstrates the prospect of cryogenic applications. However, due to unremoved polymers from purification, low-quality gate stacks and imperfect contacts, some undesirable temperature-dependent characteristics such as SS and nonohmic contacts appear. The associated optimized process facilitates both enhancement and stability of the performance223,224, as well as systematic analysis at low temperature. Combined with the device characteristics at low temperature, more information can be obtained so as to deepen the understanding of device mechanisms, and then the appropriate material properties for low-temperature applications can be identified, such as the customized density of A-CNTs. Similarly, networks and aligned arrays of GNRs with a finite energy gap have also been studied51,225 The construction of carbon-based compact models based on stable materials and technology is necessary for the design of reliable and optimized large- and ultra-large-scale ICs. 2. The current reports of sensors are mainly based on the demonstration of a few devices and how to achieve stable-scale fabrication is an important goal. 3. Although the demonstration of amplification and noise in graphene-based JPAs has been reported, the practicality compared with SQUID-based JPAs is an important presentation to advance them.
Fig. 13. A-CNT-based FET. a, Schematic diagram of A-CNT-based FET. b, Transfer characteristics of a 400 nm A-CNT-FET measured from 300 K to 1.8 K under various applied bias voltages. c, Output characteristics of a 400 nm A-CNT-FET measured at 300 K and 1.8 K, respectively.
Owing to low-temperature processing technology228-240 resulting from robust carbon‒carbon bonds, nanoscale cross-sectional area and low atomic number CNTs, allow their application in the space industry and astronomy. Moreover, carbon-based materials have long been of interest in the field of condensed matter physics. A deeper understanding of the physical mechanisms and discovered quantum phenomena facilitates the novel design of electronic and quantum devices. The strong electron-electron interactions in 1D CNTs50, the nontrivial phenomena in the Moire superlattice of twisted graphene241nd the multiple degrees of freedom (charge, spin, valley and orbit) enrich the range of applications in the areas of quantum simulators, spintronics, valleytronics, and topological electronics. Periodic repetition of carbon-based materials, e.g., A-CNT and GNR arrays, may stimulate the researches on coupling interactions and collective transport behavior and thus the design of large-scale quantum device arrays. The composite design between carbon-based materials with different dimensionalities also produces interesting phenomena, such as Dirac-source FETs with SS below 60 mV/dec242,243, 1D waveguides induced in graphene244nd the drag effect245,246. Moreover, based on highly compatible processing, carbon-based devices can not only be compounded with other materials, such as superconductors, magnetic domain materials, topological materials and other low-dimensional materials but also embedded with other architectures for electron (QDs), phonon (mechanical resonant cavities) and photon (microwave optical cavities) coupling. There exists a vast scope for the development of novel cryogenic devices. Several applications of carbon-based cryoelectronics are promising: 1. FETs and circuits based on network-CNT films and aligned-CNT arrays have demonstrated sufficient potential and maturity in room-temperature electronics, which is very promising to promote the cryogenic electronics, after realization of low fluctuations of performance and combination with doping-free technology. 2. Graphene-based cryo-Hall sensors are now commercially available. 3. The graphene-based JPAs with ultra-low power and noise, which also shows intrinsic advantages over the SQUID JPA, offering high development potential and application prospects due to the promotion of quantum technology.

Conclusion

In summary, the excellent properties and processing technology of carbon-based nanomaterials offer great advantages in cryogenic electronics. This paper reviews current developments in carbon-based cryoelectronics, including logic transistors, QD devices, temperature sensors, nanoelectromechanical devices, Hall sensors and parametric amplifiers. The advantages of carbon-based cryoelectronics were discussed compared with those of conventional Si-CMOS. More researches are required for not only achieving higher performance and new mechanisms in functional modules based on the improved purity of materials, but also deeply and systematically investigating the low-temperature transport mechanics of large-scale assembled materials. The realization from individual schematic devices to large-scale functional circuits in the cryogenic regime will greatly promote advances in computing, sensing and communications.

MISCELLANEA

Funding This work is supported by the National Key Research & Develop- ment Program (Grant No. 2022YFB4401601) and Natural Science Foundation of China (62225101, 12374035 and 11974026).
Declaration of Competing Interest The authors declare that there are no competing interests.
1.
Waldrop, M. M. The chips are down for Moore’s law. Nature 530, 144-147 (2016). https://doi.org/10.1038/530144a.

2.
Service, R. F. Is silicon’s reign nearing its end? Science 323, 1000-1002 (2009). https://doi.org/10.1126/science.323.5917.1000.

3.
International Roadmap for Devices and Systems (IRDS, 2022);

4.
Balestra, F. & Ghibaudo, G. Physics and performance of nanoscale semiconduc- tor devices at cryogenic temperatures. Semicond. Sci. Technol. 32, 1-14 (2017). https://doi.org/10.1088/1361-6641/32/2/023002.

5.
Gonzalez-Zalba, M. F. et al. Scaling silicon-based quantum computing using CMOS technology. Nat. Electron. 4, 872-884 (2021). https://doi.org/10.1038/s41928-021-00681-y.

6.
Charbon, E., Babaie, M., Vladimirescu, A. & Sebastiano, F. Cryogenic CMOS circuits and systems: challenges and opportunities in designing the electronic interface for quantum processors. IEEE Microw. Mag. 22, 60-78 (2021). https://doi.org/10.1109/Mmm.2020.3023271.

7.
Beckers, A. et al. Characterization and modeling of 28-nm FDSOI CMOS technol- ogy down to cryogenic temperatures. Solid-State Electron. 159, 106-115 (2019). https://doi.org/10.1016/j.sse.2019.03.033.

8.
Beckers, A., Jazaeri, F.& Enz, C. Theoretical limit of low temperature subthreshold swing in field-effect transistors. IEEE Electron Device Lett. 41, 276-279 (2020). https://doi.org/10.1109/Led.2019.2963379.

9.
Bohuslavskyi, H. et al. Cryogenic subthreshold swing sa tura tion in FD-SOI MOS- FETs described with band broadening. IEEE Electron Device Lett. 40, 784-787 (2019). https://doi.org/10.1109/Led.2019.2903111.

10.
Arute, F. et al. Quantum supremacy using a programmable superconducting pro- cessor. Nature 574, 505-510 (2019). https://doi.org/10.1038/s41586-019-1666-5.

11.
Zhong, H.-S. et al. Quantum computational advantage using photons. Science 370, 1460-1463 (2020). https://doi.org/10.1126/science.abe8770.

12.
Reilly, D. J. Engineering the quantum-classical interface of solid-state qubits. npj Quantum Inf. 1, 15011 (2015). https://doi.org/10.1038/npjqi.2015.11.

13.
Reilly, D.J. Challenges in scaling-up the control interface of a quantum computer.In 2019 IEEE International Electron Devices Meeting (IEDM),

31.
7.1-31.7.6 (IEEE, 2019). https://doi.org/10.1109/IEDM19573.2019.8993497.

14.
Vandersypen, L. M. K. et al. Interfacing spin qubits in quantum dots and donors- hot, dense, and coherent. npj Quantum Inf. 3, 34 (2017). https://doi.org/10.1038/s41534-017-0038-y.

15.
Pauka, S. J. et al. A cryogenic CMOS chip for generating control signals for multiple qubits. Nat Electron. 4, 64-70 (2021). https://doi.org/10.1038/s41928-020-00528-y.

16.
Xue, X. et al. CMOS-based cryogenic control of silicon quantum circuits. Nature 593, 205-210 (2021). https://doi.org/10.1038/s41586-021-03469-4.

17.
Ruffino, A. et al. A cryo-CMOS chip tha t integ ra tes silicon quantum dots and multiplexed dispersive readout electronics. Nat Electron. 5, 53-59 (2022). https://doi.org/10.1038/s41928-021-00687-6.

18.
Patra, B. et al. Cryo-CMOS circuits and systems for quantum computing appli- cations. IEEE J. Solid-State Circuits 53, 309-321 (2018). https://doi.org/10.1109/Jssc.2017.2737549.

19.
Acharya, R. et al. Overcoming I/O bottleneck in superconducting quantum comput- ing: multiplexed qubit control with ultra-low-power, base-temperature cryo-CMOS multiplexer. Preprint at https://doi.org/10.48550/arXiv.2209.13060(2022).

20.
Charbon, E. et al. Cryo-CMOS for quantum computing.In 2016 IEEE International Electron Devices Meeting (IEDM),

13.
15.11-13.15.14 (IEEE, 2016). https://doi.org/10.1109/IEDM.2016.7838410.

21.
Campbell, E. T., Terhal, B. M. & Vuillot, C. Roads towards fault-tolerant univer- sal quantum computation. Nature 549, 172-179 (2017). https://doi.org/10.1038/nature23460.

22.
He, Y. et al. A two-qubit gate between phosphorus donor electrons in silicon. Nature 571, 371-375 (2019). https://doi.org/10.1038/s41586-019-1381-2.

23.
Chiong, C.-C., Wang, Y., Chang, K.-C. & Wang, H. Low-noise amplifier for next- generation radio astronomy telescopes: review of the state-of-the-art cryogenic LNAs in the most challenging applications. IEEE Microw. Mag. 23, 31-47 (2022). https://doi.org/10.1109/Mmm.2021.3117318.

24.
Alam, S., Hossain, M.S., Srinivasa, S. R. & Aziz, A. Cr yogenic memor y technologies. Nat. Electron. 6, 185-198 (2023). https://doi.org/10.1038/s41928-023-00930-2.

25.
Grill, A. et al. Reliability and variability of advanced CMOS devices at cryogenic temperatures. In 2020 IEEE International Reliability Physics Symposium (IRPS), 1-6 (IEEE, 2020). https://doi.org/10.1109/IRPS45951.2020.9128316.

26.
Homulle, H. Cryogenic electronics for the read-out of quantum proces- sors. (Harald Homulle, 2019). https://doi.org/10.4233/uuid:e833f394-c8b1-46e2-86b8-da0c71559538.

27.
Beckers, A., Jazaeri, F. & Enz, C. Cryogenic MOSFET threshold voltage model. In 2019 49th European Solid-State Device Research Conference (ESSDERC), 94-97 (IEEE, 2019). https://doi.org/10.1109/ESSDERC.2019.8901806.

28.
Incandela, R. M. et al. Characterization and compact modeling of nanometer CMOS transistors at deep-cryogenic temperatures. IEEE J. Electron Devices Soc. 6, 996-1006 (2018). https://doi.org/10.1109/Jeds.2018.2821763.

29.
Hart, P. A. T., Babaie, M., Charbon, E., Vladimirescu, A. & Sebastiano, F. Sub- threshold mismatch in nanometer CMOS at cryogenic temperatures. IEEE J. Electron Devices Soc. 8, 797-806 (2020). https://doi.org/10.1109/Jeds.2020.2988730.

30.
Culcer, D., Hu, X. & Das Sarma, S. Interface roughness, valley-orbit coupling, and valley manipulation in quantum dots. Phys. Rev. B 82, 205315 (2010). https://doi.org/10.1103/PhysRevB.82.205315.

31.
Rahman, R. et al. Engineered valley-orbit splittings in quantum-confined nanos- tructures in silicon. Phys. Rev. B 83, 195323 (2011). https://doi.org/10.1103/PhysRevB.83.195323.

32.
Ferdous, R. et al. Valley dependent anisotropic spin splitting in silicon quan- tum dots. npj Quantum Inf. 4, 26 (2018). https://doi.org/10.1038/s41534-018-0075-1.

33.
Green, M. A. The cost of coolers for cooling superconducting devices at temper- a tures a t 4.2 K, 20 K, 40 K and 77 K. IOP Conf. Ser.: Mater. Sci. Eng. 101, 012001 (2015). https://doi.org/10.1088/1757-899x/101/1/012001.

34.
Park, H. J., Bawedin, M., Choi, H. G. & Cristoloveanu, S. Kink effect in ultrathin FD- SOI MOSFETs. Solid-State Electron. 143, 33-40 (2018). https://doi.org/10.1016/j.sse.2017.12.002.

35.
Casse, M. et al. Cryogenic operation of thin-film FDSOI nMOS transistors: the effect of back bias on drain current and transconductance. IEEE Trans. Electron Devices 67, 4636-4640 (2020). https://doi.org/10.1109/Ted.2020.3022607.

36.
Bardin, J. C. et al. Design and characterization of a 28-nm bulk-CMOS cryogenic quantum controller dissipating less than 2 mW at 3 K. IEEE J. Solid-State Circuits 54, 3043-3060 (2019). https://doi.org/10.1109/Jssc.2019.2937234.

37.
Claeys, C. & Simoen, E. The perspectives of silicon-on-insulator technologies for cryogenic applications. J. Electrochem. Soc. 141, 2522-2532 (1994). https://doi.org/10.1149/1.2055155.

38.
Bonen, S. et al. Cryogenic characterization of 22-nm FDSOI CMOS technology for quantum computing ICs. IEEE Electron Device Lett. 40,127-130 (2019).https://doi.org/10.1109/Led.2018.2880303.

39.
Bohuslavskyi, H. et al. 28nm fully-depleted SOI technology:cryogenic control elec- tronics for quantum computing. In 2017 Silicon Nanoelectronics Workshop (SNW), 143-144 (IEEE, 2017). https://doi.org/10.23919/SNW.2017.8242338.

40.
Bohuslavskyi, H. et al. Cryogenic characterization of 28-nm FD-SOI ring oscilla- tors with energy efficiency optimization. IEEE Trans. Electron Devices 65, 3682-3688 (2018). https://doi.org/10.1109/Ted.2018.2859636.

41.
Paz, B. C. et al. Performance and low-frequency noise of 22-nm FDSOI down to 4.2 K for cryogenic applications. IEEE Trans. Electron Devices 67, 4563-4567 (2020). https://doi.org/10.1109/Ted.2020.3021999.

42.
Maria, F. S. D. S. et al. Low temperature behavior of FD-SOI MOSFETs from micro- to nano-meter channel lengths.In 2021 IEEE 14th Workshop on Low Tem- perature Electronics (WOLTE) (IEEE, 2021). https://doi.org/10.1109/Wolte49037.2021.9555451

43.
Dong, Q. et al. Ultra-low noise high electron mobility transistors for high-impedance and low-frequency deep cryogenic readout electronics. Appl. Phys. Lett. 105, 013504 (2014). https://doi.org/10.1063/1.4887368.

44.
Schleeh, J. et al. Phonon black-body radiation limit for hea t dissipa tion in electron- ics. Nat. Mater. 14, 187-192 (2015). https://doi.org/10.1038/Nmat4126.

45.
Grahn, J., Cha, E., Pourkabirian, A., Stenarson, J. & Wadefalk, N. III-V HEMTs for cryogenic low noise amplifiers. In 2020 IEEE International Electron Devices Meeting (IEDM), 541-544 (IEEE, 2020). https://doi.org/10.1109/Iedm13553.2020.9372031.

46.
Geim, A. K. & Novoselov, K. S. The rise of graphene. Nat. Mater. 6,183-191 (2007). https://doi.org/10.1038/nmat1849.

47.
Geim, A. K. Graphene: status and prospects. Science 324, 1530-1534 (2009). https://doi.org/10.1126/science.1158877.

48.
Das Sarma, S., Adam, S., Hwang, E. H. & Rossi, E. Electronic transport in two- dimensional graphene. Rev. Mod. Phys. 83, 407-470 (2011). https://doi.org/10.1103/RevModPhys.83.407.

49.
Marconnet, A. M., Panzer, M. A. & Goodson, K. E. Thermal conduction phenomena in carbon nanotubes and related nanostructured materials. Rev. Mod. Phys. 85, 1295-1326 (2013). https://doi.org/10.1103/RevModPhys.85.1295.

50.
Laird, E. A. et al. Quantum transport in carbon nanotubes. Rev. Mod. Phys. 87, 703-764 (2015). https://doi.org/10.1103/RevModPhys.87.703.

51.
Wang, H. et al. Graphene nanoribbons for quantum electronics. Nat. Rev. Phys. 3, 791-802 (2021). https://doi.org/10.1038/s42254-021-00370-x.

52.
Niu, W. et al. Exceptionally clean single-electron transistors from solutions of molecular graphene nanoribbons. Nat. Mater. 22, 180-185 (2023). https://doi.org/10.1038/s41563-022-01460-6.

53.
Kastner, M. A. The single-electron transistor. Rev. Mod. Phys. 64, 849-858 (1992). https://doi.org/10.1103/RevModPhys.64.849.

54.
Sulpizio, J. A. et al. Visualizing Poiseuille flow of hydrodynamic electrons. Nature 576, 75-79 (2019). https://doi.org/10.1038/s41586-019-1788-9.

55.
Kumar, C. et al. Imaging hydrodynamic electrons flowing without Landauer-Sharvin resistance. Nature 609, 276-281 (2022). https://doi.org/10.1038/s41586-022-05002-7.

56.
Deprez, C. et al. A tunable Fabry-Perot quantum Hall interferometer in graphene. Nat. Nanotechnol. 16, 555-562 (2021). https://doi.org/10.1038/s41565-021-00847-x.

57.
Ronen, Y. et al. Aharonov-Bohm effect in graphene-based Fabry-Perot quantum Hall interferometers. Nat. Nanotechnol. 16, 563-569 (2021). https://doi.org/10.1038/s41565-021-00861-z.

58.
Deng, X. et al. Gate-controlled quantum interference effects in a clean single- wall carbon nanotube p-n junction. Phys. Rev. Lett. 130, 207002 (2023). https://doi.org/10.1103/PhysRevLett.130.207002.59.

59.
Desjardins, M. M. et al. Synthetic spin-orbit interaction for Majorana devices. Nat. Mater. 18, 1060-1064 (2019). https://doi.org/10.1038/s41563-019-0457-6.

60.
Viennot, J. J., Palomo, J. & Kontos, T. Stamping single wall nanotubes for circuit quantum electrodynamics. Appl. Phys. Lett. 104, 113108 (2014). https://doi.org/10.1063/1.4868868.

61.
Desjardins, M. M. et al. Observation of the frozen charge of a Kondo resonance. Nature 545,71-74 (2017). https://doi.org/10.1038/nature21704.

62.
Kroll, J. G. et al. Magnetic field compatible circuit quantum electrodynamics with graphene Josephson junctions. Nat. Commun. 9, 4615 (2018). https://doi.org/10.1038/s41467-018-07124-x.

63.
Wang, J. I.-J. et al. Coherent control of a hybrid superconducting circuit made with graphene-based van der Waals heterostructures. Nat. Nanotechnol. 14, 120-125 (2019). https://doi.org/10.1038/s41565-018-0329-2.

64.
Peng, L.-M., Zhang, Z. & Qiu, C. Carbon nanotube digital electronics. Nat. Electron. 2, 499-505 (2019). https://doi.org/10.1038/s41928-019-0330-2.

65.
Si, J., Xu, L., Zhu, M., Zhang, Z.& Peng, L.-M. Advances in high-performance carbon- nanotube thin-film electronics. Adv. Electron. Mater. 5,1900122 (2019).https://doi.org/10.1002/aelm.201900122.

66.
Liu, C. & Zhang, Z. Carbon-based CMOS integ ra ted circuit technology: devel- opment status and future challenges. Sci. Sin. Chim. 51, 1457-1473 (2021). https://doi.org/10.1360/ssc-2021-0075.

67.
Liu, Y.-F. & Zhang, Z.-Y. Carbon based electronic technology in post-Moore era: progress, applications and challenges. Acta Phys. Sin. 71, 068503 (2022). https://doi.org/10.7498/aps.71.20212076.

68.
Hills, G. et al. Modern microprocessor built from complementary carbon nanotube transistors. Nature 572, 595-602 (2019). https://doi.org/10.1038/s41586-019-1493-8.

69.
Han, S.-J. et al. High-speed logic integ ra ted circuits with solution-processed self- assembled carbon nanotubes. Nat. Nanotechnol. 12, 861-865 (2017). https://doi.org/10.1038/Nnano.2017.115.

70.
Shulaker, M. M. et al. Carbon nanotube computer. Nature 501, 526-530 (2013). https://doi.org/10.1038/nature12502.

71.
Wu, Y., Farmer, D. B., Xia, F. & Avouris, P. Graphene electronics: materials, devices, and circuits. Proc. IEEE 101, 1620-1637 (2013). https://doi.org/10.1109/Jproc.2013.2260311.

72.
Schwierz, F. Graphene transistors. Nat. Nanotechnol. 5, 487-496 (2010). https://doi.org/10.1038/nnano.2010.89.

73.
Qiu, C. et al. Scaling carbon nanotube complementary transistors to 5-nm gate lengths. Science 355, 271-276 (2017). https://doi.org/10.1126/science.aaj1628.

74.
Leonard, F. & Tersoff, J. Role of Fermi-level pinning in nanotube Schottky diodes. Phys. Rev. Lett. 84, 4693-4696 (2000). https://doi.org/10.1103/PhysRevLett.84.4693.

75.
Heinze, S. et al. Carbon nanotubes as Schottky barrier transistors. Phys. Rev. Lett. 89, 106801 (2002). https://doi.org/10.1103/PhysRevLett.89.106801.

76.
Javey, A., Guo, J., Wang, Q., Lundstrom, M. & Dai, H. Ballistic carbon nan- otube field-effect transistors. Nature 424,654-657 (2003). https://doi.org/10.1038/nature01797.

77.
Javey, A. et al. Self-aligned ballistic molecular transistors and electrically par- allel nanotube arrays. Nano Lett. 4, 1319-1322 (2004). https://doi.org/10.1021/nl049222b.

78.
Zhang, Z. et al. Doping-free fabrication of carbon nanotube based ballistic CMOS devices and circuits. Nano Lett. 7, 3603-3607 (2007). https://doi.org/10.1021/nl0717107.

79.
Zhang, Z. et al. Self-aligned ballistic n-type single-walled carbon nanotube field- effect transistors with adjustable threshold voltage. Nano Lett. 8, 3696-3701 (2008). https://doi.org/10.1021/nl8018802.

80.
Ding, L. et al. Y-contacted high-performance n-type single-walled carbon nanotube field-effect transistors: scaling and comparison with Sc-contacted devices. Nano Lett. 9, 4209-4214 (2009). https://doi.org/10.1021/nl9024243.

81.
Liu, X. et al. Hf-contacted high-performance air-stable n-type carbon nanotube transistors. ACS Appl. Electron. Mater. 3, 4623-4629 (2021). https://doi.org/10.1021/acsaelm.1c00767.

82.
Ando, T.& Nakanishi, T. Impurity scattering in carbon nanotubes - absence of back scattering. J. Phys. Soc. Jpn. 67, 1704-1713 (1998). https://doi.org/10.1143/Jpsj.67.1704.

83.
McEuen, P. L., Bockrath, M., Cobden, D. H., Yoon, Y. G. & Louie, S. G. Disorder,pseudospins, and backscattering in carbon nanotubes. Phys. Rev. Lett. 83, 5098-5101 (1999). https://doi.org/10.1103/PhysRevLett.83.5098.

84.
Poncharal, P., Berger, C., Yi, Y., Wang, Z. L. & de Heer, W. A. Room temperature ballistic conduction in carbon nanotubes. J. Phys. Chem. B. 106, 12104-12118 (2002). https://doi.org/10.1021/jp021271u.

85.
Purewal, M. S. et al. Scaling of resistance and electron mean free path of single- walled carbon nanotubes. Phys. Rev. Lett. 98, 186808 (2007). https://doi.org/10.1103/PhysRevLett.98.186808.

86.
Qiu, C. et al. Carbon nanotube feedback-gate field-effect transistor: suppressing current leakage and increasing on/off ratio. ACS Nano 9, 969-977 (2015). https://doi.org/10.1021/nn506806b.

87.
Xu, L., Qiu, C. G., Peng, L. & Zhang, Z. Suppression of leakage current in carbon nanotube field-effect transistors. Nano Res. 14, 976-981 (2021). https://doi.org/10.1007/s12274-020-3135-8.

88.
Pei, T. et al. Temperature performance of doping-free top-gate CNT field-effect transistors: potential for low- and high-temperature electronics. Adv. Funct. Mater. 21, 1843-1849 (2011). https://doi.org/10.1002/adfm.201002563.

89.
Koswatta, S. O., Valdes-Garcia, A., Steiner, M. B., Lin, Y.-M. & Avouris, P. Ultimate RF performance potential of carbon electronics. IEEE Trans. Microw. Theory Tech. 59, 2739-2750 (2011). https://doi.org/10.1109/Tmtt.2011.2150241.

90.
Sakalas, P., Claus, M., Schroter, M. & Rumiantsev, A. Experimental characteriza- tion of temperature-dependent electron transport in single-wall multi-tube car- bon nanotube transistors. Phys. Status Solidi - Rapid Res. Lett. 6, 62-64 (2012). https://doi.org/10.1002/pssr.201105442.

91.
Islam, A. E., Rogers, J. A. & Alam, M. A. Recent progress in obtaining semicon- ducting single-walled carbon nanotubes for transistor applications. Adv. Mater. 27, 7908-7937 (2015). https://doi.org/10.1002/adma.201502918.

92.
Chen, B. et al. Highly uniform carbon nanotube field-effect transistors and medium scale integ ra ted circuits. Nano Lett. 16, 5120-5128 (2016). https://doi.org/10.1021/acs.nanolett.6b02046.

93.
Yang, Y., Ding, L., Han, J., Zhang, Z. & Peng, L.-M. High-performance complemen- tary transistors and medium-scale integ ra ted circuits based on carbon nanotube thin films. ACS Nano 11, 4124-4132 (2017). https://doi.org/10.1021/acsnano.7b00861.

94.
Zhong, D. et al. Gigahertz integ ra ted circuits based on carbon nanotube films. Nat. Electron. 1, 40-45 (2018). https://doi.org/10.1038/s41928-017-0003-y.

95.
Zorn, N. F. & Zaumseil, J. Charge transport in semiconducting carbon nanotube networks. Appl. Phys. Rev. 8, 041318 (2021). https://doi.org/10.1063/5.0065730.

96.
Gao, J. & Loo, Y.-L. Temperature-dependent electrical transport in polymer-sorted semiconducting carbon nanotube networks. Adv. Funct. Mater. 25, 105-110 (2015). https://doi.org/10.1002/adfm.201402407.

97.
Sheng, P. Fluctuation-induced tunneling conduction in disordered materials. Phys. Rev. B 21, 2180-2195 (1980). https://doi.org/10.1103/PhysRevB.21.2180.

98.
Kymakis, E. & Amaratunga, G. A. J. Electrical properties of single-wall carbon nanotube-polymer composite films. J. Appl. Phys. 99, 084302 (2006). https://doi.org/10.1063/1.2189931.

99.
Yanagi, K. et al. Transport mechanisms in metallic and semiconducting single- wall carbon nanotube networks. ACS Nano 4, 4027-4032 (2010). https://doi.org/10.1021/nn101177n.

100.
Park, Y. W. Editorial for the conducting polymers for carbon electronics themed issue. Chem. Soc. Rev. 39, 2352-2353 (2010). https://doi.org/10.1039/c005384h.

101.
Xie, Y. et al. Highly temperature-stable carbon nanotube transistors and giga- hertz integ ra ted circuits for cryogenic electronics. Adv. Electron.Mater. 7,2100202 (2021). https://doi.org/10.1002/aelm.202100202.

102.
Long, G. et al. Carbon nanotube-based flexible high-speed circuits with sub- nanosecond stage delays. Nat. Commun. 13,6734 (2022).https://doi.org/10.1038/s41467-022-34621-x.

103.
Zhong, D. et al. Carbon nanotube film-based radio frequency transistors with maximum oscillation frequency above 100 GHz. ACS Appl. Mater. Interfaces 11, 42496-42503 (2019). https://doi.org/10.1021/acsami.9b15334.

104.
Zhou, J. et al. Carbon nanotube based radio frequency transistors for K-band am- plifiers. ACS Appl. Mater. Interfaces 13, 37465-37472 (2021). https://doi.org/10.1021/acsami.1c07782.

105.
Martin, J. et al. Observation of electron-hole puddles in graphene using a scanning single-electron transistor. Nat. Phys. 4, 144-148 (2008). https://doi.org/10.1038/nphys781.

106.
Wang, N. C. et al. Replacing copper interconnects with graphene at a 7-nm node. In 2017 IEEE International Interconnect Technology Conference (IITC), 1-3 (IEEE, 2017). https://doi.org/10.1109/IITC-AMC.2017.7968949.

107.
Grande, M. et al. Optically transparent wideband CVD graphene-based mi- crowave antennas. Appl. Phys. Lett. 112, 251103 (2018). https://doi.org/10.1063/1.5037409.

108.
Xia, F., Perebeinos, V., Lin, Y.-m., Wu, Y. & Avouris, P. The origins and limits of metal- graphene junction resistance. Nat. Nanotechnol. 6, 179-184 (2011). https://doi.org/10.1038/Nnano.2011.6.

109.
Farmer, D. B., Perebeinos, V., Lin, Y.-M., Dimitrakopoulos, C. & Avouris, P. Charge trapping and scattering in epitaxial graphene. Phys. Rev. B 84, 205417 (2011). https://doi.org/10.1103/PhysRevB.84.205417.

110.
Farmer, D. B. et al. Utilization of a buffered dielectric to achieve high field-effect carrier mobility in graphene transistors. Nano Lett. 9, 4474-4478 (2009). https://doi.org/10.1021/nl902788u.

111.
Wang, H. et al. BN/graphene/BN transistors for RF applications. IEEE Electron Device Lett. 32, 1209-1211 (2011). https://doi.org/10.1109/Led.2011.2160611.

112.
Pal, A. N. & Ghosh, A. Ultralow noise field-effect transistor from multilayer graphene. Appl. Phys. Lett. 95,082105 (2009).https://doi.org/10.1063/1.3206658.

113.
Stolyarov, M. A., Liu, G., Rumyantsev, S. L., Shur, M. & Balandin, A. A. Suppression of 1/f noise in near-ballistic h-BN-graphene-h-BN heterostructure field-effect tran- sistors. Appl. Phys. Lett. 107, 023106 (2015). https://doi.org/10.1063/1.4926872.

114.
Balandin, A. A. Low-frequency 1/f noise in graphene devices. Nat. Nanotechnol. 8, 549-555 (2013). https://doi.org/10.1038/Nnano.2013.144.

115.
Wu, Y. et al. High-frequency, scaled graphene transistors on diamond-like carbon. Nature 472, 74-78 (2011). https://doi.org/10.1038/nature09979.

116.
Chakraborty, W. Cryogenic CMOS technology and monolithic-3D integration for high performance computing. (University of Notre Dame, 2022). https://doi.org/10.7274/c821gh96q66.

117.
Baydin, A. et al. Carbon nanotube devices for quantum technology. Materials 15, 1535 (2022). https://doi.org/10.3390/ma15041535.

118.
Ishibashi, K., Moriyama, S., Tsuya, D., Fuse, T. & Suzuki, M. Quantum-dot nan- odevices with carbon nanotubes. J. Vac. Sci. Technol. A. 24, 1349-1355 (2006). https://doi.org/10.1116/1.2201054.

119.
Jalil, J., Zhu, Y., Ekanayake, C. & Ruan, Y. Sensing of single electrons using micro and nano technologies: a review. Nanotechnology 28, 142002 (2017). https://doi.org/10.1088/1361-6528/aa57aa.

120.
Wang, L.-J. et al. A graphene quantum dot with a single electron transistor as an integ ra ted charge sensor. Appl. Phys. Lett. 97, 262113 (2010). https://doi.org/10.1063/1.3533021.

121.
Neumann, C., Volk, C., Engels, S. & Stampfer, C. Graphene-based charge sen- sors. Nanotechnology 24, 444001 (2013). https://doi.org/10.1088/0957-4484/24/44/444001.

122.
Andresen, S. E. S., Wu, F., Danneau, R., Gunnarsson, D.& Hakonen, P.J. Highly sen- sitive and broadband carbon nanotube radio-frequency single-electron transistor. J. Appl. Phys. 104, 033715 (2008). https://doi.org/10.1063/1.2968123.

123.
Honig, M. et al. Local electrostatic imaging of striped domain order in LaAlO 3 / SrTiO 3. Nat. Mater. 12, 1112-1118 (2013). https://doi.org/10.1038/Nmat3810.

124.
Zhang, R. et al. Optical visualization of individual ultralong carbon nanotubes by chemical vapour deposition of titanium dioxide nanoparticles. Nat. Commun. 4, 1727 (2013). https://doi.org/10.1038/ncomms2736.

125.
Zhang, R. et al. Facile manipulation of individual carbon nanotubes assisted by inorganic nanoparticles. Nanoscale 5,6584-6588 (2013).https://doi.org/10.1039/c3nr01877f.

126.
Zhang, R. et al. Superlubricity in centimetres-long double-walled carbon nan- otubes under ambient conditions. Nat. Nanotechnol. 8, 912-916 (2013). https://doi.org/10.1038/Nnano.2013.217.

127.
Waissman, J. et al. Realization of pristine and locally tunable one-dimensional electron systems in carbon nanotubes. Nat. Nanotechnol. 8, 569-574 (2013). https://doi.org/10.1038/Nnano.2013.143.

128.
Shen, B. et al. Single-carbon-nanotube manipulations and devices based on macroscale anthracene flakes. Adv. Mater. 30, 1705844 (2018). https://doi.org/10.1002/adma.201705844.

129.
Pei, F., Laird, E. A., Steele, G. A. & Kouwenhoven, L. P. Valley-spin blockade and spin resonance in carbon nanotubes. Nat. Nanotechnol. 7, 630-634 (2012). https://doi.org/10.1038/nnano.2012.160.

130.
Wu, C. C., Liu, C. H. & Zhong, Z. One-step direct transfer of pristine single- walled carbon nanotubes for functional nanoelectronics. Nano Lett. 10, 1032-1036 (2010). https://doi.org/10.1021/nl904260k.

131.
Shapir, I. et al. Imaging the electronic Wigner crystal in one dimension. Science 364, 870-875 (2019). https://doi.org/10.1126/science.aat0905.

132.
Zondiner, U. et al. Cascade of phase transitions and Dirac revivals in magic-angle graphene. Nature 582, 203-208 (2020). https://doi.org/10.1038/s41586-020-2373-y.

133.
Ella, L. et al. Simultaneous voltage and current density imaging of flowing elec- trons in two dimensions. Nat. Nanotechnol. 14,480-487 (2019).https://doi.org/10.1038/s41565-019-0398-x.

134.
Khivrich, I. & Ilani, S. Atomic-like charge qubit in a carbon nanotube enabling electric and magnetic field nano-sensing. Nat. Commun. 11, 2299 (2020). https://doi.org/10.1038/s41467-020-16001-5.

135.
Pelliccione, M. et al. Scanned probe imaging of nanoscale magnetism at cryogenic temperatures with a single-spin quantum sensor. Nat. Nanotechnol. 11, 700-705 (2016). https://doi.org/10.1038/Nnano.2016.68.

136.
Giazotto, F., Heikkila, T. T., Luukanen, A., Savin, A. M. & Pekola, J. P. Opportunities for mesoscopics in thermometry and refrigeration: physics and applications. Rev. Mod. Phys. 78, 217-274 (2006). https://doi.org/10.1103/RevModPhys.78.217.

137.
Kuo, C. Y. et al. Nano temperature sensor using selective lateral growth of carbon nanotube between electrodes. IEEE Trans. Nanotechnol. 6, 63-69 (2007). https://doi.org/10.1109/Tnano.2006.888531.

138.
Saraiya, A., Porwal, D., Bajpai, A. N., Tripathi, N. K. & Ram, K. Investigation of car- bon nanotubes as low temperature sensors. Synth. React. Inorg. Me. 36,163-164 (2006). https://doi.org/10.1080/15533170500524496.

139.
Di Bartolomeo, A. et al. Multiwalled carbon nanotube films as small-sized tem- perature sensors. J. Appl. Phys. 105, 064518 (2009). https://doi.org/10.1063/1.3093680.

140.
Ionete, E. I. et al. Cryogenic sensor with carbon nanotubes. Dig. J. Nanomater. Biostructures 9, 511-517 (2014).

141.
Monea, B. F. et al. Single wall carbon nanotubes based cryogenic temperature sensor platforms. Sensors 17, 2071 (2017). https://doi.org/10.3390/s17092071.

142.
Ionete, E. I., Niculescu, A. E., Spiridon, S. I. & Monea, B. F. Magnetoresistance behavior of cryogenic temperature sensors based on single-walled carbon nan-otubes. IEEE Sens. J. 21, 2767-2774 (2021). https://doi.org/10.1109/jsen.2020.3027038.

143.
Tarasov, M., Svensson, J., Kuzmin, L. & Campbell, E. E. B. Carbon nanotube bolometers. Appl. Phys. Lett. 90, 163503 (2007). https://doi.org/10.1063/1.2722666.

144.
Pawlak, R. et al. A fully transparent flexible sensor for cryogenic temperatures based on high strength metallurgical graphene. Sensors 17, 51 (2017). https://doi.org/10.3390/s17010051.

145.
Fong, K. C. & Schwab, K. C. Ultrasensitive and wide-bandwidth thermal mea- surements of graphene at low temperatures. Phys. Rev. X 2, 031006 (2012). https://doi.org/10.1103/PhysRevX.2.031006.

146.
Balandin, A. A. et al. Superior thermal conductivity of single-layer graphene. Nano Lett. 8, 902-907 (2008). https://doi.org/10.1021/nl0731872.

147.
Seol, J. H. et al. Two-dimensional phonon transpor t in suppor ted graphene. Sci- ence 328, 213-216 (2010). https://doi.org/10.1126/science.1184014.

148.
Nika, D. L., Pokatilov, E. P., Askerov, A. S. & Balandin, A. A. Phonon thermal conduc- tion in graphene: role of Umklapp and edge roughness scattering. Phys. Rev. B 79, 155413 (2009). https://doi.org/10.1103/PhysRevB.79.155413.

149.
Fong, K. C. et al. Measurement of the electronic thermal conductance channels and heat capacity of graphene at low temperature. Phys. Rev. X 3,041008 (2013). https://doi.org/10.1103/PhysRevX.3.041008.

150.
Crossno, J., Liu, X., Ohki, T. A., Kim, P. & Fong, K. C. Development of high frequency and wide bandwidth Johnson noise thermometry. Appl. Phys. Lett. 106, 023121 (2015). https://doi.org/10.1063/1.4905926.

151.
Yigen, S. & Champagne, A. R. Wiedemann-Franz relation and thermal-transistor effect in suspended graphene. Nano Lett. 14, 289-293 (2014). https://doi.org/10.1021/nl403967z.

152.
Waissman, J. et al. Electronic thermal transport measurement in low-dimensional ma terials with g raphene non-local noise thermometry. Nat. Nanotechnol. 17,166-173 (2022). https://doi.org/10.1038/s41565-021-01015-x.

153.
Lee, G.-H. et al. Graphene-based Josephson junction microwave bolometer. Na- ture 586, 42-46 (2020). https://doi.org/10.1038/s41586-020-2752-4.

154.
Yang, M. et al. A diamond temperature sensor based on the energy level shift of nitrogen-vacancy color centers. Nanomaterials 9, 1576 (2019). https://doi.org/10.3390/nano9111576.

155.
Kucsko, G. et al. Nanometre-scale thermometry in a living cell. Nature 500, 54-58 (2013). https://doi.org/10.1038/nature12373.

156.
Neumann, P. et al. High-precision nanoscale temperature sensing using single defects in diamond. Nano Lett. 13, 2738-2742 (2013). https://doi.org/10.1021/nl401216y.

157.
Chen, C. et al. Graphene mechanical oscillators with tunable frequency. Nat. Nan- otechnol. 8, 923-927 (2013). https://doi.org/10.1038/Nnano.2013.232.

158.
Xu, Y. et al. Radio frequency electrical transduction of graphene mechanical res- onators. Appl. Phys. Lett. 97, 243111 (2010). https://doi.org/10.1063/1.3528341.

159.
Chen, C. et al. Performance of monolayer graphene nanomechanical resonators with electrical readout. Nat. Nanotechnol. 4, 861-867 (2009). https://doi.org/10.1038/Nnano.2009.267.

160.
Eichler, A., Chaste, J., Moser, J. & Bachtold, A. Parametric amplification and self- oscillation in a nanotube mechanical resonator. Nano Lett. 11, 2699-2703 (2011). https://doi.org/10.1021/nl200950d.

161.
Hone, J. & Deshpande, V. V. Coupling strongly, discretely. Science 325, 1084-1085 (2009). https://doi.org/10.1126/science.1178574.

162.
Steele, G. A. et al. Strong coupling between single-electron tunneling and nanome- chanical motion. Science 325,1103-1107 (2009).https://doi.org/10.1126/science.1176076.

163.
Lassagne, B., Tarakanov, Y., Kinaret, J., Garcia-Sanchez, D. & Bachtold, A. Cou- pling mechanics to charge transport in carbon nanotube mechanical resonators. Science 325, 1107-1110 (2009). https://doi.org/10.1126/science.1174290.

164.
Wen, Y., Ares, N., Pei, T., Briggs, G. A. D. & Laird, E. A. Measuring carbon nanotube vibrations using a single-electron transistor as a fast linear amplifier. Appl. Phys. Lett. 113, 153101 (2018). https://doi.org/10.1063/1.5052185.

165.
Gotz, K. J. G., Schupp, F. J. & Huttel, A. K. Carbon nanotube Millikelvin transport and nanomechanics. Phys. Status Solidi B: Basic Solid State Phys. 256, 1800517 (2019). https://doi.org/10.1002/pssb.201800517.

166.
Midtvedt, D., Tarakanov, Y. & Kinaret, J. Parametric resonance in nanoelectrome- chanical single electron transistors. Nano Lett. 11, 1439-1442 (2011). https://doi.org/10.1021/nl103663m.

167.
Rugar, D., Budakian, R., Mamin, H. J. & Chui, B. W. Single spin detection by magnetic resonance force microscopy. Nature 430, 329-332 (2004). https://doi.org/10.1038/nature02658.

168.
Ganzhorn, M., Klyatskaya, S., Ruben, M. & Wernsdorfer, W. Strong spin-phonon coupling between a single-molecule magnet and a carbon nanotube nanoelec- tromechanical system. Nat. Nanotechnol. 8, 165-169 (2013). https://doi.org/10.1038/Nnano.2012.258.

169.
LaHaye, M. D., Suh, J., Echternach, P. M., Schwab, K. C. & Roukes, M. L. Nanome- chanical measurements of a superconducting qubit. Nature 459,960-964 (2009). https://doi.org/10.1038/nature08093.

170.
Singh, V. et al. Probing thermal expansion of graphene and modal dispersion at low-temperature using graphene NEMS resonators. Nanotechnology 21, 209801 (2010). https://doi.org/10.1088/0957-4484/21/0/209801.

171.
Deng, L. et al. Coef ficient of ther mal expansion of carbon nanotubes measured by Raman spectroscopy. Appl. Phys. Lett. 104, 051907 (2014). https://doi.org/10.1063/1.4864056.

172.
van der Zande, A.M. et al. Large-scale arrays of single-layer g raphene resona tors. Nano Lett. 10, 4869-4873 (2010). https://doi.org/10.1021/nl102713c.

173.
Xiao, Y. et al. A review on graphene-based nano-electromechanical resonators: fabrication, performance, and applications. Micromachines 13, 215 (2022). https://doi.org/10.3390/mi13020215.

174.
Huttel, A. K. et al. Carbon nanotubes as ultrahigh quality factor mechanical res- onators. Nano Lett. 9, 2547-2552 (2009). https://doi.org/10.1021/nl900612h.

175.
Eichler, A. et al. Nonlinear damping in mechanical resonators made from carbon nanotubes and graphene. Nat. Nanotechnol. 6, 339-342 (2011). https://doi.org/10.1038/nnano.2011.71.

176.
Hakkinen, P., Isacsson, A., Savin, A., Sulkko, J. & Hakonen, P. Charge sensitivity enhancement via mechanical oscillation in suspended carbon nanotube devices. Nano Lett. 15, 1667-1672 (2015). https://doi.org/10.1021/nl504282s.

177.
Chaste, J. et al. A nanomechanical mass sensor with yoctogram resolution. Nat. Nanotechnol. 7, 300-303 (2012). https://doi.org/10.1038/Nnano.2012.42.

178.
Moser, J. et al. Ultrasensitive force detection with a nanotube mechanical resonator. Nat. Nanotechnol. 8, 493-496 (2013). https://doi.org/10.1038/Nnano.2013.97.

179.
Moser, J., Eichler, A., Guttinger, J., Dykman, M. I. & Bachtold, A. Nanotube mechan- ical resonators with quality factors of up to 5 million. Nat. Nanotechnol. 9, 1007-1011 (2014). https://doi.org/10.1038/Nnano.2014.234.

180.
Urgell, C. et al. Cooling and self-oscillation in a nanotube electromechanical res- onator. Nat. Phys. 16, 32-37 (2020). https://doi.org/10.1038/s41567-019-0682-6.

181.
de Bonis, S. L. et al. Ultrasensitive displacement noise measurement of carbon nanotube mechanical resonators. Nano Lett. 18, 5324-5328 (2018). https://doi.org/10.1021/acs.nanolett.8b02437.

182.
Mamin, H. J. & Rugar, D. Sub-Attonewton force detection at Millikelvin tempera- tures. Appl. Phys. Lett. 79, 3358-3360 (2001). https://doi.org/10.1063/1.1418256.

183.
Tao, Y., Boss, J. M., Moores, B. A. & Degen, C. L. Single-crystal diamond nanome- chanical resonators with quality factors exceeding one million. Nat. Commun. 5, 3638 (2014). https://doi.org/10.1038/ncomms4638.

184.
Beccari, A. et al. Strained crystalline nanomechanical resonators with quality factors above 10 billion. Nat. Phys. 18, 436-441 (2022). https://doi.org/10.1038/s41567-021-01498-4.

185.
Bereyhi, M. J. et al. Hierarchical tensile structures with ultralow mechanical dis- sipation. Nat. Commun. 13, 3097 (2022). https://doi.org/10.1038/s41467-022-30586-z.

186.
Gisler, T. et al. Soft-clamped silicon nitride string resona tors a t Millikelvin temper- atures. Phys. Rev. Lett. 129, 104301 (2022). https://doi.org/10.1103/PhysRevLett.129.104301.

187.
Zhang, Z.-Z. et al. Coherent phonon dynamics in spatially separated graphene mechanical resonators. Preprint at https://doi.org/10.48550/arXiv.1909.11311(2019).

188.
Clerk, A. A. & Bennett, S. Quantum nanoelectromechanics with electrons, quasi- particles and Cooper pairs: effective bath descriptions and strong feedback ef- fects. New J. Phys. 7, 238 (2005). https://doi.org/10.1088/1367-2630/7/1/238.

189.
Armour, A.D., Blencowe, M. P. & Zhang, Y. Classical dynamics of a nanomechanical resonator coupled to a single-electron transistor. Phys. Rev. B 69, 125313 (2004). https://doi.org/10.1103/PhysRevB.69.125313.

190.
Wen, Y. et al. A coherent nanomechanical oscillator driven by single-electron tun- nelling. Nat. Phys. 16, 75-82 (2020). https://doi.org/10.1038/s41567-019-0683-5.

191.
Naik, A. et al. Cooling a nanomechanical resonator with quantum back-action. Nature 443, 193-196 (2006). https://doi.org/10.1038/nature05027.

192.
Das Sarma, S., Hwang, E. H., Kodiyalam, S., Pfeiffer, L. N. & West, K. W. Transport in two-dimensional modulation-doped semiconductor structures. Phys. Rev. B 91, 205304 (2015). https://doi.org/10.1103/PhysRevB.91.205304.

193.
Collomb, D., Li, P. & Bending, S. Frontiers of graphene-based Hall-effect sensors. J. Phys.: Condens. Matter. 33,243002 (2021).https://doi.org/10.1088/1361-648X/abf7e2.

194.
Popovic, R. S. & Halg, B. Nonlinearity in hall devices and its compensation. Solid- State Electron. 31, 1681-1688 (1988). https://doi.org/10.1016/0038-1101(88)90064-0.

195.
Wang, L. et al. One-dimensional electrical contact to a two-dimensional material. Science 342, 614-617 (2013). https://doi.org/10.1126/science.1244358.

196.
Schaefer, B. T. et al. Magnetic field detection limits for ultraclean graphene Hall sensors. Nat. Commun. 11, 4163 (2020). https://doi.org/10.1038/s41467-020-18007-5.

197.
Baines, R. In Graphene 2021. https://phantomsfoundation.com/GRAPHENECONF/2021/Abstracts/Grapheneconf2021_Baines_Rosie_73.pdf.

198.
Tzalenchuk, A. et al. Towards a quantum resistance standard based on epitaxial graphene. Nat. Nanotechnol. 5, 186-189 (2010). https://doi.org/10.1038/Nnano.2009.474.

199.
Janssen, T. J. B. M. et al. Graphene, universality of the quantum Hall effect and redefinition of the SI system. New J. Phys. 13, 093026 (2011). https://doi.org/10.1088/1367-2630/13/9/093026.

200.
Janssen, T. J. B. M. et al. Precision comparison of the quantum Hall effect in graphene and gallium arsenide. Metrologia 49, 294-306 (2012). https://doi.org/10.1088/0026-1394/49/3/294.

201.
Ribeiro-Palau, R. et al. Quantum Hall resistance standard in graphene devices under relaxed experimental conditions. Nat. Nanotechnol. 10, 965-971 (2015). https://doi.org/10.1038/Nnano.2015.192.

202.
Delahaye, F. & Jeckelmann, B. Revised technical guidelines for reliable dc mea- surements of the quantized Hall resistance. Metrologia 40,217-223 (2003).https://doi.org/10.1088/0026-1394/40/5/302.

203.
Aumentado, J. Superconducting parametric amplifiers: the state of the art in Josephson parametric amplifiers. IEEE Microw. Mag. 21, 45-59 (2020). https://doi.org/10.1109/Mmm.2020.2993476.

204.
Zimmer, H. Parametric amplification of microwaves in superconducting Joseph- son tunnel junctions. Appl. Phys. Lett. 10, 193 (1967). https://doi.org/10.1063/1.1754906.

205.
Heffner, H.& Kotzebue, K. Experimental characteristics of a microwave parametric amplifier using a semiconductor diode. Proc. IRE 46, 1301 (1958).

206.
Verkhotu, V. & Trofimen, I. Study of a refrigerated parametric amplifier using a semiconductor diode. Radio Eng Electron P. 12, 602 (1967).

207.
Yur ke, B. et al. Observa tion of 4.2-K equilibrium-noise squeezing via a Josephson- parametric amplifier. Phys. Rev. Lett. 60, 764-767 (1988). https://doi.org/10.1103/PhysRevLett.60.764.

208.
Castellanos-Beltrana, M. A. & Lehnert, K. W. Widely tunable parametric amplifier based on a superconducting quantum interference device array resonator. Appl. Phys. Lett. 91, 083509 (2007). https://doi.org/10.1063/1.2773988.

209.
Heersche, H. B., Jarillo-Herrero, P., Oostinga, J. B., Vandersypen, L. M. K. & Mor- purgo, A. F. Bipolar supercurrent in graphene. Nature 446, 56-59 (2007). https://doi.org/10.1038/nature05555.

210.
Calado, V. E. et al. Ballistic Josephson junctions in edge-contacted graphene. Nat. Nanotechnol. 10, 761-764 (2015). https://doi.org/10.1038/Nnano.2015.156.

211.
Lee, G.-H., Kim, S., Jhi, S.-H.& Lee, H.-J. Ultimately short ballistic vertical graphene Josephson junctions. Nat. Commun. 6, 6181 (2015). https://doi.org/10.1038/ncomms7181.

212.
Schmidt, F. E., Jenkins, M. D., Watanabe, K., Taniguchi, T. & Steele, G. A. A ballistic graphene superconducting microwave circuit. Nat. Commun. 9,4069 (2018).https://doi.org/10.1038/s41467-018-06595-2.

213.
Dou, Z. et al. Microwave photoassisted dissipation and supercurrent of a phase- biased graphene-superconductor ring. Phys. Rev. Res. 3, L 032009 (2021). https://doi.org/10.1103/PhysRevResearch.3.L032009.

214.
Sarkar, J. et al. Quantum-noise-limited microwave amplification using a graphene Josephson junction. Nat. Nanotechnol. 17, 1147-1152 (2022). https://doi.org/10.1038/s41565-022-01223-z.

215.
Butseraen, G. et al. A ga te-tunable g raphene Josephson parametric amplifier. Nat. Nanotechnol. 17, 1153-1158 (2022). https://doi.org/10.1038/s41565-022-01235-9.

216.
Yang, F. et al. Chirality-specific growth of single-walled carbon nanotubes on solid alloy catalysts. Nature 510,522-524 (2014).https://doi.org/10.1038/nature13434.

217.
Sanchez-Valencia, J. R. et al. Controlled synthesis of single-chirality carbon nan- otubes. Nature 512, 61-64 (2014). https://doi.org/10.1038/nature13607.

218.
Chen, X., Zhang, L. & Chen, S. Large area CVD growth of graphene. Synth. Met. 210, 95-108 (2015). https://doi.org/10.1016/j.synthmet.2015.07.005.

219.
Kim, G. et al. New approaches to produce large-area single crystal thin films. Adv. Mater. 35, 2203373 (2022). https://doi.org/10.1002/adma.202203373.

220.
Liu, L. et al. Aligned high-density semiconducting carbon nanotube arrays for high- performance electronics. Science 368, 850-856 (2020). https://doi.org/10.1126/science.aba5980.

221.
Shi, H. et al. Radiofrequency transistors based on aligned carbon nanotube arrays. Nat. Electron. 4, 405-415 (2021). https://doi.org/10.1038/s41928-021-00594-w.

222.
Lin, Y. et al. Enhancement-mode field-effect transistors and high-speed integ ra ted circuits based on aligned carbon nanotube films. Adv. Funct. Mater. 32, 2104539 (2022). https://doi.org/10.1002/adfm.202104539.

223.
Liu, C. et al. Complementary transistors based on aligned semiconducting carbon nanotube arrays. ACS Nano 16, 21482-21490 (2022). https://doi.org/10.1021/acsnano.2c10007.

224.
Lin, Y. et al. Improving the performance of aligned carbon nanotube-based transis- tors by refreshing the substrate surface. ACS Appl. Mater. Interfaces 15, 10830-10837 (2023). https://doi.org/10.1021/acsami.2c22049.

225.
Son, J. G. et al. Sub-10 nm graphene nanoribbon array field-effect transistors fabricated by block copolymer lithography. Adv. Mater. 25, 4723-4728 (2013). https://doi.org/10.1002/adma.201300813.

226.
Abbas, A. N. et al. Patterning, characterization, and chemical sensing applications of graphene nanoribbon arrays down to 5 nm using helium ion beam lithography. ACS Nano 8, 1538-1546 (2014). https://doi.org/10.1021/nn405759v.

227.
Richter, N. et al. Charge transport mechanism in networks of armchair graphene nanoribbons. Sci. Rep. 10, 1988 (2020). https://doi.org/10.1038/s41598-020-58660-w.

228.
Wei, H., Patil, N., Lin, A., Wong, H.-S. P. & Mitra, S. Monolithic three-dimensional integ ra ted circuits using carbon nanotube FETs and interconnects. In 2009 IEEE International Electron Devices Meeting (IEDM), 577-580 (IEEE, 2009). https://doi.org/10.1109/IEDM.2009.5424292.

229.
Wei, H., Shulaker, M., Wong, H.-S. P. & Mitra, S. Monolithic three-dimensional in- teg ra tion of carbon nanotube FET complementary logic circuits. In 2013 IEEE International Electron Devices Meeting, 511-514 (IEEE, 2013). https://doi.org/10.1109/IEDM.2013.6724663.

230.
Zhao, Y. et al. Three-dimensional flexible complementary metal-oxide- semiconductor logic circuits based on two-layer stacks of single-walled carbon nanotube networks. ACS Nano 10, 2193-2202 (2016). https://doi.org/10.1021/acsnano.5b06726.

231.
Shulaker, M. M. et al. Three-dimensional integ ra tion of nanotechnologies for com- puting and data storage on a single chip. Nature 547, 74-78 (2017). https://doi.org/10.1038/nature22994.

232.
Aly, M. M. S. et al. The N3XT approach to energy-efficient abundant-data computing. Proc. IEEE 107, 19-48 (2019). https://doi.org/10.1109/Jproc.2018.2882603.

233.
Xie, Y., Zhang, Z., Zhong, D. & Peng, L. Speeding up carbon nanotube integ ra ted circuits through three-dimensional architecture. Nano Res. 12,1810-1816 (2019). https://doi.org/10.1007/s12274-019-2436-2.

234.
Jian, Y. et al. Laminated three-dimensional carbon nanotube integrated circuits. Nanoscale 14, 7049-7054 (2022). https://doi.org/10.1039/d2nr01498j.

235.
Fan, C. et al. Monolithic three-dimensional integ ra tion of carbon nanotube circuits and sensors for smart sensing chips. ACS Nano 17, 10987-10995 (2023). https://doi.org/10.1021/acsnano.3c03190.

236.
Fan, C. et al. Monolithic three-dimensional integ ra tion of aligned carbon nanotube transistors for high-performance integrated circuits. Infomat 5, e 12420 (2023). https://doi.org/10.1002/inf2.12420.

237.
Zhu, M.-G., Zhang, Z. & Peng, L.-M. High-performance and radiation-hard carbon nanotube complementary static random-access memory. Adv. Electron. Mater. 5, 1900313 (2019). https://doi.org/10.1002/aelm.201900313.

238.
Zhu, M. et al. Radiation-hardened and repairable integrated circuits based on car- bon nanotube transistors with ion gel gates. Nat. Electron. 3, 622-629 (2020). https://doi.org/10.1038/s41928-020-0465-1.

239.
Zhu, M., Zhou, J., Sun, P., Peng, L.-M. & Zhang, Z. Analyzing Gamma-ray ir- radiation effects on carbon nanotube top-gated field-effect transistors. ACS Appl. Mater. Interfaces 13, 47756-47763 (2021). https://doi.org/10.1021/acsami.1c13651.

240.
Lu, P. et al. Heavy ion displacement damage effect in carbon nanotube field effect transistors. ACS Appl. Mater. Interfaces 15, 10936-10946 (2023). https://doi.org/10.1021/acsami.2c20005.

241.
Andrei, E. Y. & MacDonald, A. H. Graphene bilayers with a twist. Nat. Mater. 19, 1265-1275 (2020). https://doi.org/10.1038/s41563-020-00840-0.

242.
Qiu, C. et al. Dirac-source field-effect transistors as energy-efficient, high- performance electronic switches. Science 361, 387-391 (2018). https://doi.org/10.1126/science.aap9195.

243.
Xiao, M. et al. n-Type Dirac-source field-effect transistors based on a graphene/carbon nanotube heterojunction. Adv. Electron. Mater. 6, 2000258 (2020). https://doi.org/10.1002/aelm.202000258.

244.
Cheng, A., Taniguchi, T., Watanabe, K., Kim, P. & Pillet, J.-D. Guiding Dirac fermions in graphene with a carbon nanotube. Phys. Rev. Lett. 123, 216804 (2019). https://doi.org/10.1103/PhysRevLett.123.216804.

245.
Badalyan, S. M. & Jauho, A. P. Coulomb drag between a carbon nanotube and monolayer graphene. Phys. Rev. Res. 2, 013086 (2020). https://doi.org/10.1103/PhysRevResearch.2.013086.

246.
Anderson, L., Cheng, A., Taniguchi, T., Watanabe, K. & Kim, P. Coulomb drag be- tween a carbon nanotube and monolayer graphene. Phys. Rev. Lett. 127, 257701 (2021). https://doi.org/10.1103/PhysRevLett.127.257701.

Outlines

/