{"title":"双向最优量子控制:液晶偏振的一个用例","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":"{\"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}","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}
Bidirectional optimal quantum control: A use case of polarization in liquid crystals
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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