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TOPS-speed optical tensor convolutional accelerator for feature extraction and inference based on micro-comb

  • Yixuan Zheng (Co-first Author)
  • , Shifan Chen (Co-first Author)
  • , Yifu Xu
  • , Shuai Wang
  • , Zhihui Liu
  • , Yunping Bai*
  • , Sai T. Chu
  • , Xiaotian Zhu
  • , Brent E. Little
  • , Roberto Morandotti
  • , David J. Moss
  • , Xingyuan Xu*
  • , Kun Xu
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

We experimentally demonstrated an optical tensor convolution accelerator multiplexing the physical dimensions of wavelength, time, and, importantly, space to represent the image channels, achieving an operational speed exceeding 3 TOPS with low data redundancy. © 2025 The Author(s).
Original languageEnglish
Title of host publicationOptical Fiber Communication Conference (OFC) 2025
PublisherOptica Publishing Group
Number of pages3
ISBN (Print)9781557527370
DOIs
Publication statusPublished - Mar 2025
Event2025 Optical Fiber Communications Conference and Exhibition (OFC 2025) - San Francisco, United States
Duration: 30 Mar 20253 Apr 2025

Publication series

NameOptical Fiber Communication Conference in Proceedings Optical Fiber Communication Conference, OFC and Optical Fiber Communication Conference (OFC) Postdeadline Papers

Conference

Conference2025 Optical Fiber Communications Conference and Exhibition (OFC 2025)
PlaceUnited States
CitySan Francisco
Period30/03/253/04/25

Funding

This work was supported by the National Natural Science Foundation of China (NSFC) (No,62301074), National Key R&D Program of China (No.2021YFF0901700), NSFC (61821001; 62135009), Fund of State Key Laboratory of IPOC (BUPT) (NO. IPOC2023ZZ01).

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