Infrared and Laser Engineering, Volume. 53, Issue 10, 20240308(2024)

Time-series prediction with integrated photonic reservoir computing (invited)

Li PEI1, Baoqin DING1, Bing BAI1,2, Bowen BAI3, Juan SUI2, Jianshuai WANG1, and Tigang NING1
Author Affiliations
  • 1Key Laboratory of All-Optical Networks and Modern Communication Networks of Ministry of Education, Institute of Lightwave Technology, Beijing Jiaotong University, Beijing 100044, China
  • 2Photoncounts (Beijing) Technology Company Ltd., Beijing 100081, China
  • 3State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University, Beijing 100871, China
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    References(33)

    [4] X LUO, Y HU, X OU et al. Metasurface-enabled on-chip multiplexed diffractive neural networks in the visible. Light: Science & Applications, 11, 158(2022).

    [8] [8] DING B, PEI L, BAI B, et al. The computing chips in unmanned systems from electron to photon[C]International Conference on Autonomous Unmanned Systems, Singape: Springer Nature Singape, 2022: 36433652.

    [9] X ZHANG, H F QIU, J Q LAN. Programmable gate array WM-TDLAS gas detection system design and application. Opto-Electron Eng, 51, 240022(2024).

    [13] [13] XIA G Q, HOU Y S, WU Z M. Prediction perfmance of reservoir computing using a semiconduct laser with double optical feedback[C]2018 Conference on Lasers ElectroOptics Pacific Rim (CLEOPR), IEEE, 2018: 12.

    [16] [16] Van der SE G, HARKHOE K, KATUMBA A, et al. Integrated photonic delaylasers f reservoir computing[C]Physics Simulation of Optoelectronic Devices XXVIII. SPIE, 2020, 11274: 4147.

    [19] J DONG, M RAFAYELYAN, F KRZAKALA et al. Optical reservoir computing using multiple light scattering for chaotic systems prediction. IEEE Journal of Selected Topics in Quantum Electronics, 26, 1-12(2019).

    [20] [20] SACKESYN S, MA C, KATUMBA A, et al. A powerefficient architecture f onchip reservoir computing[C]Artificial Neural wks Machine Learning–ICANN 2019, 2019: 161164.

    [21] A KATUMBA, M FREIBERGER, F LAPORTE et al. Neuromorphic computing based on silicon photonics and reservoir computing. IEEE Journal of Selected Topics in Quantum Electronics, 24, 2821843(2018).

    [25] [25] DENISLE COARER F, RONTANI D, KATUMBA A, et al. Toward neuroinspired computing using a small wk of microring resonats on an integrated photonic chip[C]Neuroinspired Photonic Computing, SPIE, 2018, 10689: 1422.

    [26] COARER F DENIS-LE, M SCIAMANNA, A KATUMBA et al. All-optical reservoir computing on a photonic chip using silicon-based ring resonators. IEEE Journal of Selected Topics in Quantum Electronics, 24, 2836985(2018).

    [29] H JAEGER. The “echo state” approach to analysing and training recurrent neural networks-with an erratum note. Bonn, Germany: German National Research Center for Information Technology GMD Technical Report, 148, 13(2001).

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    Li PEI, Baoqin DING, Bing BAI, Bowen BAI, Juan SUI, Jianshuai WANG, Tigang NING. Time-series prediction with integrated photonic reservoir computing (invited)[J]. Infrared and Laser Engineering, 2024, 53(10): 20240308

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    Paper Information

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    Received: Jul. 10, 2024

    Accepted: Sep. 20, 2024

    Published Online: Dec. 13, 2024

    The Author Email:

    DOI:10.3788/IRLA20240308

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