Simulation of Charge Stability Diagrams for Automated Tuning Solutions (SimCATS)

Abstract

Quantum dots must be tuned precisely to provide a suitable basis for quantum computation. A scalable platform for quantum computing can only be achieved by fully automating the tuning process. One crucial step is to trap the appropriate number of electrons in the quantum dots, typically accomplished by analyzing charge stability diagrams (CSDs). Training and testing automation algorithms require large amounts of data, which can be either measured and manually labeled in an experiment or simulated. This article introduces a new approach to the realistic simulation of such measurements. Our flexible framework enables the simulation of ideal CSD data complemented with appropriate sensor responses and distortions. We suggest using this simulation to benchmark published algorithms. Also, we encourage the extension by custom models and parameter sets to drive the development of robust, technology-independent algorithms. Code is available at https://github.com/f-hader/SimCATS.

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• Automated Charge Transition Detection in Quantum Dot Charge Stability Diagrams
• 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
• QDsim: A user-friendly toolbox for simulating large-scale quantum dot devices
• Automatic detection of single-electron regime of quantum dots and definition of virtual gates using U-Net and clustering