Chinese Optics Letters, Volume. 21, Issue 8, 082701(2023)

Surpassing the standard quantum limit of optical imaging via deep learning

Miao Cai1, Zhi-Xiang Li1, Hao-Dong Wu1, Ya-Ping Ruan1, Lei Tang1, Jiang-Shan Tang1, Ming-Yuan Chen1, Han Zhang1,2, Ke-Yu Xia1,4,5、*, Min Xiao1,2,3, and Yan-Qing Lu1
Author Affiliations
  • 1College of Engineering and Applied Sciences, National Laboratory of Solid State Microstructures, Nanjing University, Nanjing 210023, China
  • 2School of Physics, Nanjing University, Nanjing 210023, China
  • 3Department of Physics, University of Arkansas, Fayetteville, Arkansas 72701, USA
  • 4Hefei National Laboratory, Hefei 230088, China
  • 5Jiangsu Key Laboratory of Artificial Functional Materials, Nanjing University, Nanjing 210023, China
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    References(41)

    [29] J. Xie, L. Xu, E. Chen. Image denoising and inpainting with deep neural networks. Adv. Neural Inf. Process Syst., 25, 341(2012).

    [36] O. Ronneberger, P. Fischer, T. Brox. U-net: convolutional networks for biomedical image segmentation. International Conference on Medical image computing and computer-assisted intervention, 234(2015).

    [41] D. J. Schroeder. Astronomical Optics(1999).

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    Miao Cai, Zhi-Xiang Li, Hao-Dong Wu, Ya-Ping Ruan, Lei Tang, Jiang-Shan Tang, Ming-Yuan Chen, Han Zhang, Ke-Yu Xia, Min Xiao, Yan-Qing Lu. Surpassing the standard quantum limit of optical imaging via deep learning[J]. Chinese Optics Letters, 2023, 21(8): 082701

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    Paper Information

    Category: Quantum Optics and Quantum Information

    Received: Mar. 6, 2023

    Accepted: Apr. 23, 2023

    Posted: Apr. 24, 2023

    Published Online: Aug. 11, 2023

    The Author Email: Ke-Yu Xia (keyu.xia@nju.edu.cn)

    DOI:10.3788/COL202321.082701

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