Laser & Optoelectronics Progress, Volume. 62, Issue 17, 1739004(2025)

Research Progress on Training Methods for Photonic Neural Networks (Invited)

Mengting Yu1, Haowen Zhao1, Shuiying Xiang1,2、*, Xingxing Guo1,2, Changjian Xie1, and Yue Hao2
Author Affiliations
  • 1State Key Laboratory of Integrated Services Networks, School of Telecommunications Engineering, Xidian University, Xi'an 710071, Shaanxi , China
  • 2National Engineering Research Center of Wide Band-Gap Semiconductor, School of Microelectronics, Xidian University, Xi'an 710071, Shaanxi , China
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    References(115)

    [1] Xiang S Y, Song Z W, Zhang Y H et al. Progress in the research of optical neural networks[J]. Opto-Electronic Engineering, 51, 240101(2024).

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    [26] Yang L Y, Zhang L. Recent progress in photonic reservoir neural network[J]. Chinese Journal of Lasers, 48, 1906001(2021).

    [35] Ke T, Zhu Y, Peng C Y et al. Research history and prospect of photonic spiking neural networks[J]. Study on Optical Communications, 17-31(2023).

    [36] Ma T, Li W J, Feng J N et al. Recent advances in optical spiking neural networks[J]. Optics & Optoelectronic Technology, 20, 96-111(2022).

    [61] Yang W, Li Q Q. Survey on particle swarm optimization algorithm[J]. Engineering Science, 6, 87-94(2004).

    [94] Guo P X, You Z R, Hou W G et al. Progressive training scheme for recognition error of optical neural networks[J]. Acta Optica Sinica, 44, 0720001(2024).

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    Mengting Yu, Haowen Zhao, Shuiying Xiang, Xingxing Guo, Changjian Xie, Yue Hao. Research Progress on Training Methods for Photonic Neural Networks (Invited)[J]. Laser & Optoelectronics Progress, 2025, 62(17): 1739004

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    Paper Information

    Category: AI for Optics

    Received: Jun. 11, 2025

    Accepted: Jul. 10, 2025

    Published Online: Sep. 15, 2025

    The Author Email: Shuiying Xiang (syxiang@xidian.edu.cn)

    DOI:10.3788/LOP251421

    CSTR:32186.14.LOP251421

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