Items where Author is "Osborne, M. A."

Article

Moon, H. and Lennon, D. T. and Kirkpatrick, J. and van Esbroeck, N. M. and Camenzind, L. C. and Yu, Liuqi and Vigneau, F. and Zumbühl, D. M. and Briggs, G. A. D. and Osborne, M. A. and Sejdinovic, D. and Laird, E. A. and Ares, N.. (2020) Machine learning enables completely automatic tuning of a quantum device faster than human experts. Nature Communications, 11. p. 4161.

Lennon, D. T. and Moon, H. and Camenzind, L. C. and Yu, Liuqi and Zumb`uhl, D. M. and Briggs, G. A. D. and Osborne, M. A. and Laird, E. A. and Ares, N.. (2019) Efficiently measuring a quantum device using machine learning. npj Quantum Information, 5. p. 79.

Preprint

Craig, D. L. and Moon, H. and Fedele, F. and Lennon, D. T. and Van Straaten, B. and Vigneau, F. and Camenzind, L. C. and Zumbühl, D. M. and Briggs, G. A. D. and Osborne, M. A.. (2021) Bridging the reality gap in quantum devices with physics-aware machine learning. arxiv.

Severin, B. and Lennon, D. T. and Camenzind, L. C. and Vigneau, F. and Fedele, F. and Jirovec, D. and Ballabio, A. and Chrastina, D. and Isella, G. and de Kruijf, M. and Carballido, M. J. and Svab, S. and Kuhlmann, A. V. and Braakman, F. R. and Geyer, S. and Froning, F. N. M. and Hoon, H. and Osborne, M. A. and Sejdinovic, D. and Katsaros, G. and Zumbühl, D. M. and Briggs, G. A. D. and Ares, N.. (2021) Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning. arxiv.