Spin-qubit operation is framed as a modular automation problem with five modules to enable scalable stable arrays via interfaces, standardized data products, and workflow metrics.
Computer-automatedtuning of semiconductor double quantum dots into the single- electron regime
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Neural-network autotuning combined with FPGA-accelerated RF reflectometry reduces stability-diagram acquisition time by 9.8x and total single-electron-regime initialization time by 2.2x in a SiGe quantum dot.
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