Cross-architecture Tuning of Silicon and SiGe-based Quantum Devices Using Machine Learning

Fuente: arXiv

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Bibliographic Details
Main Authors:	Severin, B., Lennon, D. T., Camenzind, L. C., Vigneau, F., Fedele, F., Jirovec, D., Ballabio, A., Chrastina, D., Isella, G., de Kruijf, M., Carballido, M. J., Svab, S., Kuhlmann, A. V., Braakman, F. R., Geyer, S., Froning, F. N. M., Moon, H., Osborne, M. A., Sejdinovic, D., Katsaros, G., Zumbühl, D. M., Briggs, G. A. D., Ares, N.
Format:	Preprint
Published:	2021
Subjects:	Mesoscale and Nanoscale Physics Machine Learning Quantum Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2107.12975