Machine learning enables completely automatic tuning of a quantum device faster than human experts. - Hyungil Moon; Dominic T. Lennon; James Kirkpatrick; Nina M. van Esbroeck; Leon C. Camenzind; Liuqi Yu; Florian Vigneau; Dominik M. Zumbühl; G. Andrew D. Briggs; Michael A. Osborne; Dino Sejdinovic; Edward A. Laird; et al. (CoRR, 2020)

Quantum device fine-tuning using unsupervised embedding learning. - Nina M. van Esbroeck; Dominic T. Lennon; Hyungil Moon; V. Nguyen; Florian Vigneau; Leon C. Camenzind; Liuqi Yu; Dominik M. Zumbühl; G. Andrew D. Briggs; Dino Sejdinovic; Natalia Ares (CoRR, 2020)

Deep Reinforcement Learning for Efficient Measurement of Quantum Devices. - V. Nguyen; S. B. Orbell; Dominic T. Lennon; Hyungil Moon; Florian Vigneau; Leon C. Camenzind; Liuqi Yu; Dominik M. Zumbühl; G. Andrew D. Briggs; Michael A. Osborne; Dino Sejdinovic; Natalia Ares (CoRR, 2020)

Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning. - Brandon Severin; Dominic T. Lennon; Leon C. Camenzind; Florian Vigneau; Federico Fedele; D. Jirovec; A. Ballabio; D. Chrastina; G. Isella; M. de Kruijf; Miguel J. Carballido; Simon Svab; et al. (CoRR, 2021)

Bridging the reality gap in quantum devices with physics-aware machine learning. - David L. Craig; H. Moon; Federico Fedele; Dominic T. Lennon; Barnaby van Straaten; Florian Vigneau; Leon C. Camenzind; Dominik M. Zumbühl; G. Andrew D. Briggs; Michael A. Osborne; Dino Sejdinovic; Natalia Ares (CoRR, 2021)

Identifying Pauli spin blockade using deep learning. - Jonas Schuff; Dominic T. Lennon; Simon Geyer; David L. Craig; Federico Fedele; Florian Vigneau; Leon C. Camenzind; Andreas V. Kuhlmann; G. Andrew D. Briggs; Dominik M. Zumbühl; Dino Sejdinovic; Natalia Ares (Quantum, 2023)

Calibration and Performance Evaluation of a Superconducting Quantum Processor in an HPC Center. - Xiaolong Deng; Stefan Pogorzalek; Florian Vigneau; Ping Yang; Martin Schulz 001; Laura Brandon Schulz (ISC, 2024)