An automated approach for consecutive tuning of quantum dot arrays
نویسندگان
چکیده
Recent progress has shown that the dramatically increased number of parameters become a major issue in tuning multi-quantum dot devices. The complicated interactions between quantum dots and gate electrodes cause manual process to no longer be efficient. Fortunately, machine learning techniques can automate speed up simple systems. In this letter, we extend tune multi-dot We propose an automated approach combines learning, virtual gates local-to-global method realize consecutive arrays by dividing them into subsystems. After optimizing voltage configurations establishing control each subsystem independently, array efficiently tuned few-electron regime with appropriate interdot tunnel coupling strength. Our experimental results show consecutively range without human intervention possesses broad application prospects large-scale
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ژورنال
عنوان ژورنال: Applied Physics Letters
سال: 2022
ISSN: ['1520-8842', '0003-6951', '1077-3118']
DOI: https://doi.org/10.1063/5.0111128