A5114425764- Quantum Information and Cryptography
- Experimental Learning in Engineering
- Semiconductor materials and devices
- Semiconductor Lasers and Optical Devices
- Semiconductor Quantum Structures and Devices
- Photonic and Optical Devices
- Advancements in Semiconductor Devices and Circuit Design
- Neural Networks and Reservoir Computing
Centre de Nanosciences et de Nanotechnologies
2025
Université de Sherbrooke
2025
Laboratoire Nanotechnologies et Nanosystèmes
2025
Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they require reliable autonomous calibration procedures. This study presents an experimental demonstration of online single-dot charge autotuning using a convolutional neural network integrated into closed-loop system. The algorithm explores the gates' voltage space to localize transition lines, thereby isolating one-electron regime without human intervention. exploration leverages model's uncertainty estimation...
Spin-based semiconductor qubits hold promise for scalable quantum computing, yet they require reliable autonomous calibration procedures. This study presents an experimental demonstration of online single-dot charge autotuning using a convolutional neural network integrated into closed-loop system. The algorithm explores the gates' voltage space to localize transition lines, thereby isolating one-electron regime without human intervention. In 20 runs on device cooled 25mK, method achieved...