Microcomb-based integrated photonic processing unit

Bowen Bai; Qipeng Yang; Haowen Shu; Lin Chang; Fenghe Yang; Bitao Shen; Zihan Tao; Jing Wang; Shaofu Xu; Weiqiang Xie; Weiwen Zou; Weiwei Hu; John E. Bowers; Xingjun Wang

doi:10.1038/s41467-022-35506-9

Nature Communications (Jan 2023)

Microcomb-based integrated photonic processing unit

Bowen Bai,
Qipeng Yang,
Haowen Shu,
Lin Chang,
Fenghe Yang,
Bitao Shen,
Zihan Tao,
Jing Wang,
Shaofu Xu,
Weiqiang Xie,
Weiwen Zou,
Weiwei Hu,
John E. Bowers,
Xingjun Wang

Affiliations

Bowen Bai: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Qipeng Yang: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Haowen Shu: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Lin Chang: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Fenghe Yang: Zhangjiang Laboratory
Bitao Shen: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Zihan Tao: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
Jing Wang: State Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronic Engineering, Shanghai Jiao Tong University
Shaofu Xu: State Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronic Engineering, Shanghai Jiao Tong University
Weiqiang Xie: Department of Electrical and Computer Engineering, University of California
Weiwen Zou: State Key Laboratory of Advanced Optical Communications System and Networks, Department of Electronic Engineering, Shanghai Jiao Tong University
Weiwei Hu: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University
John E. Bowers: Department of Electrical and Computer Engineering, University of California
Xingjun Wang: State Key Laboratory of Advanced Optical Communications System and Networks, School of Electronics, Peking University

DOI: https://doi.org/10.1038/s41467-022-35506-9
Journal volume & issue: Vol. 14, no. 1
pp. 1 – 10

Abstract

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Optical neural networks face remarkable challenges in high-level integration and on-chip operation. In this work the authors enable optical convolution utilizing time-wavelength plane stretching approach on a microcomb-driven chip-based photonic processing unit.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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