2026-03-06 東北大学
図1. 本手法全体の流れ。測定で得られた電荷状態安定図をU-Netモデルに入力し、電荷遷移線を自動的に抽出。その後、ハフ変換で直線検出を行い、その結果をクラスタリングする。最終的には単一電子領域を仮想ゲート軸で表示するところまで自動で行うことができる。
＜関連情報＞
- https://www.tohoku.ac.jp/japanese/2026/03/press20260306-01-dots.html
- https://www.tohoku.ac.jp/japanese/newimg/pressimg/tohokuuniv-press20260306_01web_dots.pdf
- https://www.nature.com/articles/s41598-026-38889-7
U-Netとクラスタリングを用いた量子ドットにおける単一電子領域の自動検出と仮想ゲートの定義 Automatic detection of single-electron regime and virtual gate definition in quantum dots using U-Net and clustering
Yui Muto,Michael R. Zielewski,Motoya Shinozaki,Kosuke Noro & Tomohiro Otsuka
Scientific Reports Published:14 February 2026
DOI:https://doi.org/10.1038/s41598-026-38889-7
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.
