Loading a quantum-dot based "Qubyte" register

Abstract

Electrostatically defined quantum dot arrays offer a compelling platform for quantum computation and simulation. However, tuning up such arrays with existing techniques becomes impractical when going beyond a handful of quantum dots. Here, we present a method for systematically adding quantum dots to an array one dot at a time, in such a way that the number of electrons on previously formed dots is unaffected. The method allows individual control of the number of electrons on each of the dots, as well as of the interdot tunnel rates. We use this technique to tune up a linear array of eight GaAs quantum dots such that they are occupied by one electron each. This new method overcomes a critical bottleneck in scaling up quantum-dot based qubit registers.

8 pages, 5 figures. Supplementary: 4 pages, 5 figures

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• Protocol for a resonantly-driven three-qubit Toffoli gate with silicon spin qubits
• Deep Reinforcement Learning for Efficient Measurement of Quantum Devices
• Algorithm for automated tuning of a quantum dot into the single-electron regime
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• Simulation of 1D topological phases in driven quantum dot arrays
• Quantum device fine-tuning using unsupervised embedding learning
• Hybrid superconductor-semiconductor systems for quantum technology
• Interplay of charge noise and coupling to phonons in adiabatic electron transfer between quantum dots
• Bridging the gap between topological non-Hermitian physics and open quantum systems
• Remote capacitive sensing in two-dimension quantum-dot arrays
• Subradiance dynamics in a singly-excited chiral-coupled atomic chain
• Floquet-Enhanced Spin Swaps
• Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
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• Topology detection in cavity QED
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• Thermodynamic Uncertainty Relations for Coherent Transport
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• Autonomous estimation of high-dimensional Coulomb diamonds from sparse measurements
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• Robust energy selective tunneling readout of singlet triplet qubits under large magnetic field gradient
• Single-shot readout of multiple donor electron spins with a gate-based sensor
• Robust photon-mediated entangling gates between quantum dot spin qubits
• Tunable interdot coupling in few-electron bilayer graphene double quantum dots
• Charge sensing the parity of an Andreev molecule
• Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning
• Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays
• Towards a realistic GaAs-spin qubit device for a classical error-corrected quantum memory
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• Gate reflectometry in dense quantum dot arrays
• QArray: a GPU-accelerated constant capacitance model simulator for large quantum dot arrays
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• Highly tunable 2D silicon quantum dot array with coupling beyond nearest neighbors
• Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS)
• Mitigation of exchange cross-talk in dense quantum dot arrays
• Operating two exchange-only qubits in parallel
• Detection of charge states of an InAs nanowire triple quantum dot with an integrated nanowire charge sensor
• Preserving Coulomb blockade in transport spectroscopy of quantum dots, by dynamical tunnel-barrier compensation
• QDarts: A Quantum Dot Array Transition Simulator for finding charge transitions in the presence of finite tunnel couplings, non-constant charging energies and sensor dots
• Resonator-mediated quantum gate between distant charge qubits
• Single electron routing in a silicon quantum-dot array
• Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams
• Automatic detection of single-electron regime of quantum dots and definition of virtual gates using U-Net and clustering
• Learning Coulomb Diamonds in Large Quantum Dot Arrays
• Topological edge states of the hexagonal linear chain