Unidirectional imagers form images of input objects only in one direction,e.g.,from field-of-view(FOV)A to FOV B,while blocking the image formation in the reverse direction,from FOV B to FOV A.Here,we report unidirect...
supported by the National Natural Science Foundation of China(Grant Nos.62422509 and 62405188);the Shanghai Natural Science Foundation(Grant No.23ZR1443700);the Shuguang Program of Shanghai Education Development Foundation and Shanghai Municipal Education Commission(Grant No.23SG41);the Young Elite Scientist Sponsorship Program by CAST(Grant No.20220042);the Science and Technology Commission of Shanghai Municipality(Grant No.21DZ1100500);the Shanghai Municipal Science and Technology Major Project,and the Shanghai Frontiers Science Center Program(2021-2025 No.20).
Efficiently tracking and imaging interested moving targets is crucial across various applications,from autonomous systems to surveillance.However,persistent challenges remain in various fields,including environmental ...
supported by the National Natural Science Foundation of China(Grant Nos.12064025,12264028,12364045,and 12304420);the Natural Science Foundation of Jiangxi Province(Grant Nos.20212ACB202006,20232BAB201040,and 20232BAB211025);the Shanghai Pujiang Program(Grant No.22PJ1402900);the Australian Research Council Discovery Project(Grant No.DP200101353);the Interdisciplinary Innovation Fund of Nanchang University(Grant No.2019-9166-27060003);the China Scholarship Council(Grant No.202008420045).
The ultimate goal of artificial intelligence(AI)is to mimic the human brain to perform decision-making and control directly from high-dimensional sensory input.Diffractive optical networks(DONs)provide a promising sol...
supported by the National Natural Science Foundation of China(Grant No.12274105);the Heilongjiang Natural Science Funds for Distinguished Young Scholars(Grant No.JQ2022A001);the Fundamental Research Funds for the Central Universities(Grant No.HIT.OCEF.2021020);the Joint Guidance Project of the Natural Science Foundation of Heilongjiang Province(Grant No.LH2023A006).
Vector structured beams(VSBs)offer infinite eigenstates and open up new possibilities for highcapacity optical and quantum communications by the multiplexing of the states.Therefore,the sorting and measuring of VSBs a...
supported by the National Natural Science Foundation of China (Grant No.62135009);the Beijing Municipal Science and Technology Commission,Administrative Commission of Zhongguancun Science Park (Grant No.Z221100005322010).
On-chip diffractive optical neural networks(DONNs)bring the advantages of parallel processing and low energy consumption.However,an accurate representation of the optical field’s evolution in the structure cannot be ...
support of the U.S.Department of Energy (DOE),Office of Basic Energy Sciences,Division of Materials Sciences and Engineering under Award#DE-SC0023088.
As an optical processor,a diffractive deep neural network(D2NN)utilizes engineered diffractive surfaces designed through machine learning to perform all-optical information processing,completing its tasks at the speed...
supported by the National Key Research and Development Program of China(Grant Nos.2021YFB2800604,2021YFB2800302,and 2018YFB2200403);the National Natural Science Foundation of China(Grant Nos.12274478,91950204,and 92150302);the Graduate Research and Practice Projects of Minzu University of China.
As a successful case of combining deep learning with photonics,the research on optical machine learning has recently undergone rapid development.Among various optical classification frameworks,diffractive networks hav...