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Articles
A method to improve the computational performance of nonlinear all—optical diffractive deep neural network model
Yichen Suna Faculty of Materials and Manufacturing, Beijing University of Technology, Beijing, China;b Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaView further author information
, Mingli Dongb Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaCorrespondence[email protected]
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Mingxin Yub Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaCorrespondence[email protected]
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Lidan Lub Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaView further author information
, Shengjun Liangb Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaView further author information
, Jiabin Xiac School of Instrument Science and Opto-electronics Engineering, Hefei University of Technology, Hefei, ChinaView further author information
& Lianqing Zhub Key Laboratory of the Ministry of Education for Optoelectronic Measurement Technology and Instrument, Beijing Information Science and Technology University, Beijing, ChinaCorrespondence[email protected]
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Article: 2209624
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Published online: 28 Jun 2023
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