Infrared and Laser Engineering, Volume. 50, Issue 7, 20211043(2021)

Optoelectronic harmonized integration technology for intelligent processing of signal and information (Invited)

Weiwen Zou, Bowen Ma, Shaofu Xu, and Xiuting Zou
Author Affiliations
  • Intelligent Microwave Lightwave Integration Innovation Center (imLic), State Key Laboratory of Advanced Optical Communication Systems and Networks, School of Electronic and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    References(9)

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    [3] Xu S, Zou X, Ma B, et al. Deep-learning-powered photonic analog-to-digital conversion[J]. Light: Science & Applications, 8, 66(2019).

    [4] Shen Y, Harris N, Skirlo S, et al. Deep learning with coherent nanophotonic circuits[J]. Nature Photonics, 11, 441-447(2017).

    [5] Feldmann J, Youngblood N, Wright C, et al. All-optical spiking neurosynaptic networks with self-learning capabilities[J]. Nature, 569, 208-214(2019).

    [6] Fard M, Williamson I, Edwards M, et al. Experimental realization of arbitrary activation functions for optical neural networks[J]. Optics Express, 28, 12138-12148(2020).

    [7] Zhou T, Lin X, Wu J, et al. Large-scale neuromorphic optoelectronic computing with a reconfigurable diffractive processing unit[J]. Nature Photonics, 15, 367-373(2021).

    [8] Atabaki A, Moazeni S, Pavanello F, et al. Integrating photonics with silicon nanoelectronics for the next generation of systems on a chip[J]. Nature, 556, 349-354(2018).

    [9] Wang Z, Tian B, Pantouvaki M, et al. Room-temperature InP distributed feedback laser array directly grown on silicon[J]. Nature Photonics, 9, 837-842(2015).

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    Weiwen Zou, Bowen Ma, Shaofu Xu, Xiuting Zou. Optoelectronic harmonized integration technology for intelligent processing of signal and information (Invited)[J]. Infrared and Laser Engineering, 2021, 50(7): 20211043

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    Paper Information

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    Received: Apr. 11, 2021

    Accepted: --

    Published Online: Aug. 23, 2021

    The Author Email:

    DOI:10.3788/IRLA20211043

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