{"title":"Bidirectional optimal quantum control: A use case of polarization in liquid crystals","authors":"Dominik Vašinka, M. Bielak, M. Neset, M. Ježek","doi":"10.1364/quantum.2022.qw2a.5","DOIUrl":null,"url":null,"abstract":"We present optimal control of quantum devices using deep neural networks. Our approach avoids the ambiguity of classical control variables by unsupervised-like learning. The method is used for the accurate preparation of polarization quantum bits.","PeriodicalId":369002,"journal":{"name":"Quantum 2.0 Conference and Exhibition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Quantum 2.0 Conference and Exhibition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/quantum.2022.qw2a.5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We present optimal control of quantum devices using deep neural networks. Our approach avoids the ambiguity of classical control variables by unsupervised-like learning. The method is used for the accurate preparation of polarization quantum bits.
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