NIST · ИТ · e51d48d00b6242522dfc
Auto-tuning of double dot devices it in situ with machine learning
The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time- consuming procedure that is inherently impractical for scaling up and applications. In this work, we report on the \it in situ} implementation of a
NIST · ИТОфициальный источник · 2020-03-31
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"title_en": "Auto-tuning of double dot devices it in situ with machine learning",
"designation": "",
"series": "",
"status": "",
"date": "2020-03-31",
"date_original": "March 31, 2020",
"url": "https://www.nist.gov/publications/auto-tuning-double-dot-devices-it-situ-machine-learning",
"source": "NIST Publications",
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"authors_en": "Justyna Zwolak , Thomas McJunkin, Sandesh Kalantre, J. P. Dodson, Evan MacQuarrie, D. E. Savage, M. G. Lagally, S N. Coppersmith, Mark A. Eriksson, Jacob Taylor",
"abstract_excerpt_en": "The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time- consuming procedure that is inherently impractical for scaling up and applications. In this work, we report on the \\it in situ} implementation of a",
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{
"title_en": "Auto-tuning of double dot devices it in situ with machine learning",
"designation": "",
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"date": "2020-03-31",
"date_original": "March 31, 2020",
"url": "https://www.nist.gov/publications/auto-tuning-double-dot-devices-it-situ-machine-learning",
"source": "NIST Publications",
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"authors_en": "Justyna Zwolak , Thomas McJunkin, Sandesh Kalantre, J. P. Dodson, Evan MacQuarrie, D. E. Savage, M. G. Lagally, S N. Coppersmith, Mark A. Eriksson, Jacob Taylor",
"abstract_excerpt_en": "The current practice of manually tuning quantum dots (QDs) for qubit operation is a relatively time- consuming procedure that is inherently impractical for scaling up and applications. In this work, we report on the \\it in situ} implementation of a"
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