Acta Optica Sinica, Volume. 45, Issue 14, 1420004(2025)

Optical Neural Networks: Advances in Synergy of Hardware Physics and Software Algorithms (Invited)

Hao Wang1,2,3, Ziyu Zhan1,2,3, Xing Fu1,2,3、*, and Qiang Liu1,2,3、**
Author Affiliations
  • 1Department of Precision Instrument, Tsinghua University, Beijing 100084, China
  • 2Key Laboratory Photonic Control Technology, Ministry of Education, Tsinghua University, Beijing 100084, China
  • 3State Key Laboratory of Precision Space-Time Information Sensing Technology, Beijing 100084, China
  • show less
    References(92)

    [59] Srivastava N, Hinton G, Krizhevsky A et al. Dropout: a simple way to prevent neural networks from overfitting[J]. The Journal of Machine Learning Research, 15, 1929-1958(2014).

    [72] Harabi K E, Hirtzlin T, Turck C et al. A memristor-based Bayesian machine[J]. Nature Electronics, 6, 52-63(2022).

    Tools

    Get Citation

    Copy Citation Text

    Hao Wang, Ziyu Zhan, Xing Fu, Qiang Liu. Optical Neural Networks: Advances in Synergy of Hardware Physics and Software Algorithms (Invited)[J]. Acta Optica Sinica, 2025, 45(14): 1420004

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Optics in Computing

    Received: Apr. 8, 2025

    Accepted: Jun. 3, 2025

    Published Online: Jul. 22, 2025

    The Author Email: Xing Fu (fuxing@tsinghua.edu.cn), Qiang Liu (qiangliu@tsinghua.edu.cn)

    DOI:10.3788/AOS250861

    CSTR:32393.14.AOS250861

    Topics