Items where Author is "Lennon, D. T."
Number of items: 5. 22 November 2021Craig, 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. 27 July 2021Severin, 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. 2020Moon, 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. van Esbroeck, N. M. and Lennon, D. T. and Moon, H. and Nguyen, V. and Vigneau, F. and Camenzind, L. C. and Yu, L. and Zumbühl, D. M. and Briggs, G. A. D. and Sejdinovic, D. and Ares, N.. (2020) Quantum device fine-tuning using unsupervised embedding learning. New Journal of Physics, 22 (9). 095003. 2019Lennon, 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. |
