crossrefMachine Learning: Science and Technology2026-07-02
Automatic charge state tuning of 300 mm silicon quantum dots using neural network segmentation of charge stability diagram
Peter Samaha, Amine Torki, Ysaline Renaud, Sam Fiette, Emmanuel Chanrion, Pierre-André Mortemousque, et al.
Abstract Tuning of gate-defined semiconductor quantum dots (QDs) is a major bottleneck for scaling spin-qubit technologies. We present a deep learning driven, semantic-segmentation pipeline that performs charge auto-tuning by locating transition lines in full charge stability dia…