Machine learning enables completely automatic tuning of a quantum device faster than human experts

To optimize operating conditions of large scale semiconductor quantum devices, a large parameter space has to be explored. Here, the authors report a machine learning algorithm to navigate the entire parameter space of gate-defined quantum dot devices, showing about 180 times faster than a pure rand...

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Bibliografski detalji

Glavni autori:	H. Moon, D. T. Lennon, J. Kirkpatrick, N. M. van Esbroeck, L. C. Camenzind, Liuqi Yu, F. Vigneau, D. M. Zumbühl, G. A. D. Briggs, M. A. Osborne, D. Sejdinovic, E. A. Laird, N. Ares
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2020-08-01
Serija:	Nature Communications
Online pristup:	https://doi.org/10.1038/s41467-020-17835-9
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