Onur Kulce, Deniz Mengu, Y. Rivenson, Aydogan Ozcan
{"title":"使用衍射网络的任意线性变换的全光计算","authors":"Onur Kulce, Deniz Mengu, Y. Rivenson, Aydogan Ozcan","doi":"10.1364/cosi.2022.ctu3f.4","DOIUrl":null,"url":null,"abstract":"We show that an arbitrary complex-valued linear transform can be performed all-optically using diffractive neural networks that are trained using deep learning.","PeriodicalId":286361,"journal":{"name":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"All-Optical Computation of an Arbitrary Linear Transform Using Diffractive Networks\",\"authors\":\"Onur Kulce, Deniz Mengu, Y. Rivenson, Aydogan Ozcan\",\"doi\":\"10.1364/cosi.2022.ctu3f.4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We show that an arbitrary complex-valued linear transform can be performed all-optically using diffractive neural networks that are trained using deep learning.\",\"PeriodicalId\":286361,\"journal\":{\"name\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1364/cosi.2022.ctu3f.4\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Imaging and Applied Optics Congress 2022 (3D, AOA, COSI, ISA, pcAOP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/cosi.2022.ctu3f.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
All-Optical Computation of an Arbitrary Linear Transform Using Diffractive Networks
We show that an arbitrary complex-valued linear transform can be performed all-optically using diffractive neural networks that are trained using deep learning.