Automatic detection of single-electron regime of quantum dots and definition of virtual gates using U-Net and clustering

Abstract

To realize practical quantum computers, a large number of quantum bits (qubits) will be required. Semiconductor spin qubits offer advantages such as high scalability and compatibility with existing semiconductor technologies. However, as the number of qubits increases, manual qubit tuning becomes infeasible, motivating automated tuning approaches. In this study, we use U-Net, a neural network method for object detection, to identify charge transition lines in experimental charge stability diagrams. The extracted charge transition lines are analyzed using the Hough transform to determine their positions and angles. Based on this analysis, we obtain the transformation matrix to virtual gates. Furthermore, we identify the single-electron regime by clustering the Hough transform outputs. We also show the single-electron regime within the virtual gate space. These sequential processes are performed automatically. This approach will advance automated control technologies for large-scale quantum devices.

arXiv comment9 pages, 6 figures

References in corpus (22)

• Quantum Computing
• U-Net and its variants for medical image segmentation: theory and applications
• Driven coherent oscillations of a single electron spin in a quantum dot
• Semiconductor Spin Qubits
• Interfacing spin qubits in quantum dots and donors - hot, dense and coherent
• A CMOS silicon spin qubit
• Universal control of a six-qubit quantum processor in silicon
• Silicon CMOS architecture for a spin-based quantum computer
• A hole spin qubit in a fin field-effect transistor above 4 kelvin
• Loading a quantum-dot based "Qubyte" register
• Automated tuning of inter-dot tunnel couplings in quantum dot arrays
• Automated tuning of double quantum dots into specific charge states using neural networks
• Efficiently measuring a quantum device using machine learning
• Computer-automated tuning procedures for semiconductor quantum dot arrays
• Detection and control of charge states in a quintuple quantum dot
• Algorithm for automated tuning of a quantum dot into the single-electron regime
• Single-electron Spin Resonance in a Quadruple Quantum Dot
• Tuning arrays with rays: Physics-informed tuning of quantum dot charge states
• Automated extraction of capacitive coupling for quantum dot systems
• Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS)
• On Noise-Sensitive Automatic Tuning of Gate-Defined Sensor Dots
• Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams