Evaluation of synthetic and experimental training data in supervised machine learning applied to charge-state detection of quantum dots

Darulová, J and Troyer, M and Cassidy, M C (2021) Evaluation of synthetic and experimental training data in supervised machine learning applied to charge-state detection of quantum dots. Machine Learning: Science and Technology, 2 (4). 045023. ISSN 2632-2153

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Abstract

045023

Item Type: Article
Subjects: South Archive > Multidisciplinary
Depositing User: Unnamed user with email support@southarchive.com
Date Deposited: 17 Jul 2023 05:47
Last Modified: 26 Jul 2024 07:06
URI: http://ebooks.eprintrepositoryarticle.com/id/eprint/1238

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