Calculation of tunnel-couplings in open gate-defined disordered quantum dot systems
arXiv:1805.01728 · doi:10.1103/PhysRevB.98.155320
Abstract
Quantum computation based on semiconductor electron-spin qubits requires high control of tunnel-couplings, both across quantum dots and between the quantum dot and the reservoir. The tunnel-coupling to the reservoir sets the qubit detection and initialization bandwidth for energy-resolved spin-to-charge conversion and is essential to tune single-electron transistors commonly used as charge detectors. Potential disorder and the increasing complexity of the two-dimensional gate-defined quantum computing devices sets high demands on the gate design and the voltage tuning of the tunnel barriers. We present a Green's formalism approach for the calculation of tunnel-couplings between a quantum dot and a reservoir. Our method takes into account in full detail the two-dimensional electrostatic potential of the quantum dot, the tunnel barrier and reservoir. A Markov approximation is only employed far away from the tunnel barrier region where the density of states is sufficiently large. We calculate the tunnel-coupling including potential disorder effects, which become increasingly important for large-scale silicon-based spin-qubit devices. Studying the tunnel-couplings of a single-electron transistor in Si/SiGe as a showcase, we find that charged defects are the dominant source of disorder leading to variations in the tunnel-coupling of four orders of magnitude.
arXiv comment10 pages, 4 figures
References in corpus (30)
- Spins in few-electron quantum dots
- Single-shot read-out of an individual electron spin in a quantum dot
- Silicon Quantum Electronics
- An addressable quantum dot qubit with fault-tolerant control fidelity
- A Two Qubit Logic Gate in Silicon
- A >99.9%-fidelity quantum-dot spin qubit with coherence limited by charge noise
- A programmable two-qubit quantum processor in silicon
- Interfacing spin qubits in quantum dots and donors - hot, dense and coherent
- A CMOS silicon spin qubit
- Demonstration of Entanglement of Electrostatically Coupled Singlet-Triplet Qubits
- Silicon CMOS architecture for a spin-based quantum computer
- Rapid Single-Shot Measurement of a Singlet-Triplet Qubit
- Scalable gate architecture for densely packed semiconductor spin qubits
- Self-Consistent Measurement and State Tomography of an Exchange-Only Spin Qubit
- A Reconfigurable Gate Architecture for Si/SiGe Quantum Dots
- Theory of valley-orbit coupling in a Si/SiGe quantum dot
- Tunnel splittings for one dimensional potential wells revisited
- Fast Electrical Control of Single Electron Spins in Quantum Dots with Vanishing Influence from Nuclear Spins
- The double well potential in quantum mechanics: a simple, numerically exact formulation
- Pauli spin blockade in undoped Si/SiGe two-electron double quantum dots
- Coherent long-distance displacement of individual electron spins
- Computer-automated tuning of semiconductor double quantum dots into the single-electron regime
- Investigation of Mobility Limiting Mechanisms in Undoped Si/SiGe Heterostructures
- Full control of quadruple quantum dot circuit charge states in the single electron regime
- Quadrupolar and anisotropy effects on dephasing in two-electron spin qubits in GaAs
- Highly tuneable hole quantum dots in Ge-Si core-shell nanowires
- Efficient self-consistent quantum transport simulator for quantum devices
- Reconfigurable quadruple quantum dots in a silicon nanowire transistor
- Effects of Interface Disorder on Valley Splitting in SiGe/Si/SiGe Quantum Wells
- Voltage controlled exchange energies of a two electron silicon double quantum dot with and without charge defects in the dielectric
Cited by in corpus (6)
- Practical Strategies for Enhancing the Valley Splitting in Si/SiGe Quantum Wells
- Si/SiGe QuBus for single electron information-processing devices with memory and micron-scale connectivity function
- Simulation of 1/f charge noise affecting a quantum dot in a Si/SiGe structure
- Bridging the reality gap in quantum devices with physics-aware machine learning
- Tailoring potentials by simulation-aided design of gate layouts for spin qubit applications
- Numerical simulation of coherent spin-shuttling in a QuBus with charged defects