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Quantum Transport

Quantum transport and nanoscale related phenomena triggered huge interest in scientific community after discovering that nanostructures can poses more desirable electrical, optical, thermal and other features which are related to their physical size.
Nanonis Tramea base configuration
Nanonis Tramea base configuration: TRC real-time controller, TSC signal conversion interface and Nanonis software

Quantum transport represents an unusual part of the nanoscience. It deals with various phenomena, object and regimes which seem unrelated at the first glance.

It focuses on the behaviours and properties of nanostructures which do not depend on the composition of the structures and which cannot be explained by laws of classical physics. What is even more unusual is a fact that those features do not necessarily have to depend on the sizes of the nanostructures. Research is done on the nanostructures which could be at the atomic scale size but also significantly bigger due to the mentioned scale independence. Bigger devices are much easier to manufacture and handle. The measurements on them help to understand the quantum effect before going to the smaller scales.

Conductance and energy scale are two most important measures in quantum transport. Quantum conductance GQ=e2/ π h is made of two fundamental constants, electron charge (most of quantum transport is related to the transport of electrons) and Plank constant (related to quantum mechanics). The energy scale is determined by adjustable experimental conditions (temperature kBT, bias applied to the nanostructure eV). Physical mechanisms do not necessarily depend on the size of the nanostructure; hover internal scales are dependent on it and they are bigger for smaller nanostructures.

Conductance quantum GQ is a universal measure of conductance. If G>>GQ many electrons travel through the nanostructure simultaneously and they can do it via transport channels. If G<<GQ transport takes place in rare discrete fashion, electrons tunnel one by one. The regions where G~GQ attract lot of interest.    

Nanostructures are characterized by several internal energy scales. Let’s assume that we have nanostructure which has the same size in all three dimensions and that it is connected to two leads that are much bigger than the nanostructure itself. If we now isolate it from the leads the electron energies will become discrete and exact positions of the energy levels will depend on the nanostructure itself. Typical energy distance between two levels is the mean level spacing δS. Additional energy scale relates to the fact that electrons are charged particles with an elementary charge e. Charging energy EC characterizes the interaction of electrons. It costs the charging energy to add an extra electron to the nanostructure.
Those two scales are relevant at low conductance. At high conductance electrons do not stay long enough in the nanostructure to sense those scales. If electrons go fast through the nanostructure this introduces new energy scale due to the quantum uncertainty principle, the Thouless energy ETh which is proportional to the conductance of the nanoparticle.     

Additional line in the upper part of the graph is due to the electron-electron interaction and it limits the quantum mechanical coherence. On the right from the line we are dealing with classical incoherent transport. At the line the inelastic time is equal to the time the electron spends in the nanostructure. The energy scale can be estimated as δS~(G/GQ)2>>ETh. From the mesoscopic point of view Thouless has suggested that extended conductors can be well understood by subdividing a big conductor into smaller nanostructures. This is the reason why experiments dealing with mesoscopic effects are located in the vicinity of this line.  

After introducing the borders different approaches can be chosen as a base for the studies.

One of the important concepts is scattering approach because at low energies any nanostructure can be seen as a huge scatterer for electron waves which come from the leads. For G>>GQ scattering approach extends to the mesoscopic boarder. At energies close to the Thouless energy dependence of the scattering matrix becomes relevant.

If we go up in the direction G>>GQ scattering theory becomes impractical due to the increase of the number of transport channels which increases the size of the scattering matrix. Alternative way to handle it is to self-average over quantum phases of the scattering matrix elements. As a result quantum laws governing this regime become similar to the laws of transport in classical electric circuits. Resulting quantum circuit theory “hides” quantum effects so that conductance could be treated by the classical Ohm’s law. This allows for the treatment of superconductivity, the statistics of electron transfers and spin transport in an “easier” way. Practically there is no limitation to quantum mechanics at high conductance as long one stays above mesoscopic border.              

If we go into opposite direction G<<GQ the charging energy scale EC becomes more relevant. Strong interaction between the electrons must be taken into account. That is the reason why the focus is put on the energies of the order of EC and the mean level spacing δS is neglected. Single electron tunnelling regime is governed by the incoherent transfer of single electrons. Transfers are strongly correlated and can be precisely controlled; electrons can be manipulated one-by-one. Quantum correction to single-electron transport is called co-tunneling.  The energy scale separates inelastic and elastic co-tunneling. In the elastic co-tunneling regime, the nanostructure can be regarded as ascatterer. The combination of the Coulomb blockade and superconductivity gives the opportunity to build quantum devices of almost macroscopic size.

Domain of low conductance and low energies of the order of the mean level spacing is related to the statistics of discrete electron levels. If we go up towards high conductance and stay left from the mesoscopic border we end up in the area with the universal conductance fluctuations and the interference correction to transport with weak localization. Strong localization is relevant for G<<GQ and high energies, where electron hopping becomes dominant mechanism of conduction.

One of the newest developments is the use of nanostructures for quantum information storage and handling. In this case a flow of quantum information becomes relevant instead of a flow of quantum electrons. Qubits and quantum dots are most popular devices in quantum transport and their discrete nature of energy levels is essential. They occupy energy area of the level spacing δS on the map.        

Some interaction effects do not fit into the simple framework of the Coulomb blockade. Lot of studies are focusing on the effects of an electromagnetic environment on electron tunnelling   staying in the area of the Coulomb blockade. By going up along the conductance axis the role of the Coulomb blockade and interaction effects can be studied. The electrons in the leads provide environment which allows study of the Kondo effect in quantum dots. Energy dissipation can be discussed separately for qubits and electrons.
At high energies we are moving away from the field of quantum transport.

The numbered diamonds in the map refer ranges where some of the experiments were performed:

1) Discovery of conductance quantization
2)  Interference nature of the weak localization
3)  Universal conductance fluctuations
4)  Single-electron transistor
5)  Discrete states in quantum dots
6)  Early qubit
7)  Kondo effect in quantum dots
8)  Energy relaxation in diffusive wires

Generally quantum transport measurements are complex and time-critical requiring very low temperatures and very high signal performance on many signals simultaneously. In a typical measurement it takes lot of time to find working point on the sample even if the measurement itself is of no interest. The limiting factor is slow communication between instruments. This leads to the increase of the costs of Helium and electricity. Another disadvantage is that stability of the samples is often limited to a certain time scale.
Handling of the hardware and signals is also a complicated issue. A typical setup requires considerable space for DC sources, multi-meters, waveform generators, digitizer cards. Signal routing and summing are done in analogue domain compromising signal performance. Any change in the measurements configuration requires rewiring which could lead to sample damage.
Existing setups have often poor noise performance, insufficient resolution, large drift and some issues with low temperature. Higher measurement speed is possible but only by compromising on resolution, precision and noise performance. High performance instruments are usually single-channel and slow.   
Signal analysis also requires additional instruments.

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APPLICATION NOTES

Probing Quantum Transport by Scanning Gate Microscopy (SGM)
Probing Quantum Transport by Scanning Gate Microscopy (SGM)
Most scanning probe microscopy techniques are ideal to investigate theproperties of the first few atomic layers of a surface, but are useless when the system of interest is buried deeper. For example, scanning tunneling microscopy (STM) yields extremely detailed information on the surface electrons, but fails to operate on electronsburied below oxides. Scanning Gate Microscopy (SGM) overcomes this limitation by scanning the electrically biased tip in a plane parallel to the electron of interest, and simultaneously recording a map of the variations of electrical resistance of the system. In other words, the tip induces a local electrostatic potential perturbation, which affects the electron transport.
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Topological Insulator Josephson junctions
Topological Insulator Josephson junctions
In a topological insulator (TI), the electronic structure of the bulk reveals a unique topology that leads to the formation of conducting surface states with intriguing properties. The topological protection of the surface states and the possible emergence of Majorana fermions in superconductor/TI hybrid devices make these materials a leading candidate for use as a robust platform for future fault-tolerant quantum computation. The main challenge in creating these structures lies in the fabrication of an electrically transparent interface between the conventional superconductor and the topological insulator. A Josephson junction, formed by two closely spaced superconducting electrodes separated by a gap of less than 100 nm, can be used as a measure of the quality of the electrical interface. At low temperatures the superconducting electrodes induce superconductivity in the topological insulator by the proximity effect, with a finite Josephson current observed across a sufficiently narrow gap.
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Measuring Electron Temperature using Nanonis Tramea
Measuring Electron Temperature using Nanonis Tramea
The Nanonis Tramea Quantum Transport Measurement System (QTMS) was used to measure electron transport through an electrostatically defined Gallium Arsenide (GaAs) quantum dot in an Oxford Instruments Triton 200 dilution refrigerator. The high-speed demonstrated by Nanonis Tramea allowed for a significant reduction in the measurement acquisition time and the low noise environment of the Oxford Instruments dilution refrigerator combined with the Tramea system, allowed us to measure an electron temperature of 35 mK. This was equal to the base temperature of the cryostat with customised wiring installed.
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Characterization of Germanium Nanowire
Characterization of Germanium Nanowire
Using a combination of the Nanonis Tramea quantum transport measurement system fully integrated with an Oxford Instruments HelioxVL refrigerator, the energy levels of a qubit have been successfully measured in a Germanium nanowire. Due to the lower noise and faster speed of this measurement system, conduct-ance measurements with greater detail are produced in shorter acquisition times.
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Transport and RF-Reflectometry Measurements of CMOS Nanodevices
Transport and RF-Reflectometry Measurements of CMOS Nanodevices
Pioneering work on semiconductor quantum dots has shown that quantum dots are promising candidates as a building block (qubit) for quantum information and computation. Quantum dots are quasi-zero-dimensional nanostructures which can confine single electrons, whose spin or charge degree of freedom can then be used to represent quantum bits (qubits). Quantum computing approaches based on semiconductors can build upon mature micro/nano-fabrication technologies, which will be invaluable in scaling up to a large number of reproducible qubits with practical yields and integrated electronics. As part of the classical information technology industry, CMOS transistors have reached sufficiently small feature sizes that quantum effects can begin to play a dominant role. This motivates the exploration of quantum effects in such transistors fabricated using CMOS processes.
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Tuning and Operation of Quantum Dots and Related Apparatus
Tuning and Operation of Quantum Dots and Related Apparatus
Spin qubits in quantum dots are promising candidates towards quantum computation. However, a considerable amount of technical development is still necessary before the advent of a quantum computer. For quantum dots, this involves independently controlling and sweeping the voltages of a multitude of electrostatic gates and monitoring several charge sensing signals. Thus, a fast measurement device with a high number of inputs and outputs is critical for the efficiency of the development of multiple quantum dot devices. The group of Michel Pioro-Ladrière at Institut Quantique, Université de Sherbrooke, Canada, have recently conducted measurements on quantum dots and related components using the Nanonis Tramea instrument, which will be discussed in this application note.
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Physics on the Level of Single Electrons
Physics on the Level of Single Electrons
When shrinking the size of physical systems, it often becomes unclear in which way the physical laws are still valid. For example, thermodynamics is a phenom-enological theory which relies on the assumption that the system under consideration consists of a large (approximated by infinitely many) number of particles. When this limit - the so-called thermodynamic limit - does not hold, fluctuations dominate the physics, and the thermodynamic laws need to be corrected. Howev-er, when considering smaller physical systems, not only the number of particles, but also the dimensional-ity of the system might change. Many laws have been derived for two-dimensional systems, and can be dif-ferent for the case of one or zero dimensional systems.
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