Advanced Photonics Nexus, Volume. 3, Issue 6, 066006(2024)

Optoelectronic reservoir computing based on complex-value encoding

Chunxu Ding1、†, Rongjun Shao1, Jingwei Li2, Yuan Qu1,3, Linxian Liu4, Qiaozhi He3, Xunbin Wei5、*, and Jiamiao Yang1,3、*
Author Affiliations
  • 1Shanghai Jiao Tong University, School of Electronic Information and Electrical Engineering, Shanghai, China
  • 2Huawei Technologies Co., Ltd., Shenzhen, China
  • 3Shanghai Jiao Tong University, Institute of Marine Equipment, Shanghai, China
  • 4Shanxi University, School of Automation and Software Engineering, Taiyuan, China
  • 5Peking University, Biomedical Engineering Department and International Cancer Institute, Beijing, China
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    References(32)

    [8] N. Talati et al. mMPU: a real processing-in-memory architecture to combat the von Neumann bottleneck, 191-213(2020).

    [20] K. Kanno, A. Uchida. Photonic reinforcement learning based on optoelectronic reservoir computing. Sci. Rep., 12, 3720(2022).

    [22] J. Dong et al. Scaling up echo-state networks with multiple light scattering, 448-452(2018).

    [28] M. Lukoševičius. A practical guide to applying echo state networks. Neural Networks: Tricks of the Trade: Second Edition, 659-686(2012).

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    Chunxu Ding, Rongjun Shao, Jingwei Li, Yuan Qu, Linxian Liu, Qiaozhi He, Xunbin Wei, Jiamiao Yang, "Optoelectronic reservoir computing based on complex-value encoding," Adv. Photon. Nexus 3, 066006 (2024)

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    Paper Information

    Category: Research Articles

    Received: Apr. 15, 2024

    Accepted: Sep. 24, 2024

    Published Online: Oct. 24, 2024

    The Author Email: Xunbin Wei (xwei@bjmu.edu.cn), Jiamiao Yang (jiamiaoyang@sjtu.edu.cn)

    DOI:10.1117/1.APN.3.6.066006

    CSTR:32397.14.1.APN.3.6.066006

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