Items where Author is "Sejdinovic, D."
Jump to: 27 July 2021 | 2020 Number of items: 3. 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. |
