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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| Principais autores: | , , , , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2020-08-01
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| coleção: | Nature Communications |
| Acesso em linha: | https://doi.org/10.1038/s41467-020-17835-9 |
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