{"title":"基于光阱和反馈的信息引擎","authors":"Tushar K. Saha, J. Bechhoefer","doi":"10.1364/oma.2023.am4d.1","DOIUrl":null,"url":null,"abstract":"We review recent experimental studies of an information engine, the modern realization of Maxwell’s demon. We show how to maximize performance, even with noisy measurements. Environments with added nonequilibrium fluctuations increase work-extraction rates.","PeriodicalId":111173,"journal":{"name":"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information engines based on optical traps and feedback\",\"authors\":\"Tushar K. Saha, J. Bechhoefer\",\"doi\":\"10.1364/oma.2023.am4d.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We review recent experimental studies of an information engine, the modern realization of Maxwell’s demon. We show how to maximize performance, even with noisy measurements. Environments with added nonequilibrium fluctuations increase work-extraction rates.\",\"PeriodicalId\":111173,\"journal\":{\"name\":\"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)\",\"volume\":\"8 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\":\"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/oma.2023.am4d.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biophotonics Congress: Optics in the Life Sciences 2023 (OMA, NTM, BODA, OMP, BRAIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/oma.2023.am4d.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information engines based on optical traps and feedback
We review recent experimental studies of an information engine, the modern realization of Maxwell’s demon. We show how to maximize performance, even with noisy measurements. Environments with added nonequilibrium fluctuations increase work-extraction rates.
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