Opto-Electronic Engineering, Volume. 51, Issue 7, 240101(2024)

Progress in the research of optical neural networks

Shuiying Xiang1,*... Ziwei Song2, Yahui Zhang1, Xingxing Guo1, Yanan Han1 and Yue Hao3 |Show fewer author(s)
Author Affiliations
  • 1State Key Laboratory of Integrated Service Networks, Xidian University, Xi’an, Shaanxi 710071, China
  • 2Fundamentals Department, Air Force Engineering University, Xi’an, Shaanxi 710051, China
  • 3State Key Discipline Laboratory of Wide Bandgap Semiconductor Technology, School of Microelectronics, Xidian University, Xi’an, Shaanxi 710071, China
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    Figures & Tables(12)
    The development history of artificial intelligence
    National strategy overview and hardware implementation of brain-like intelligence[5-12,15-23]
    Research progress of Xidian University[32-72]
    Schematic diagram of a 4×4 MRR array
    Research progress in photonic neural networks based on MRR arrays[84-85,87-91]
    4×4 MZI network. (a) Triangle structure; (b) Rectangular structure
    Research progress in photonic neural networks based on MZI mesh[94,96-97,99-101,103]
    Photonic neural network based on PCM. (a) Principle and experiment of all-optical spiking neurosynaptic network[108]; (b) Integrated photonic hardware accelerator architecture based on photonic tensor cores[109]; (c) In-memory photonic–electronic computing platform based on non-volatile electronically reprogrammable PCM memory cells[110]
    Research progress in diffractive optical neural network[116-125]
    Photonic neural network based on metasurfaces. (a) The principle and experiment of optical logic operations performed by a diffractive neural network based on a compound Huygens’ metasurface[132]; (b) Optical convolutional neural network based on the phase-change metasurface mode converter as a photonic computing core[133]; (c) A programmable diffractive deep neural network based on a multi-layer digital-coding metasurface array[134]
    Research progress in training optical neural networks[89,135-144]
    • Table 1. Performance comparison of three photonic neural networks

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      Table 1. Performance comparison of three photonic neural networks

      网络类型计算规模/单元集成度/(单元/mm2)技术方法
      基于MRR阵列的光子神经网络~103~103光学谐振
      基于MZI网络的光子神经网络~104~103光学干涉
      基于PCM的光子神经网络~103~102晶态切换
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    Shuiying Xiang, Ziwei Song, Yahui Zhang, Xingxing Guo, Yanan Han, Yue Hao. Progress in the research of optical neural networks[J]. Opto-Electronic Engineering, 2024, 51(7): 240101

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    Paper Information

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    Received: May. 4, 2024

    Accepted: Jun. 28, 2024

    Published Online: Nov. 12, 2024

    The Author Email: Xiang Shuiying (项水英)

    DOI:10.12086/oee.2024.240101

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