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Optical Neuromorphic Processor at 11 TeraOPs/s based on Kerr Soliton Crystal Micro-combs

  • Mengxi Tan
  • , Xingyuan Xu
  • , Jiayang Wu
  • , Andreas Boes
  • , Bill Corcoran
  • , Thach G. Nguyen
  • , Sai T. Chu
  • , Brent E. Little
  • , Damien G. Hicks
  • , Roberto Morandotti
  • , Arnan Mitchell
  • , David J. Moss*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We demonstrate a universal optical vector convolutional accelerator operating at 11 Tera-OPS, generating convolutions of images of 250,000 pixels with 8-bit resolution for 10 kernels simultaneously. We use the same hardware to form a deep optical CNN with ten output neurons, achieving successful recognition of full 10 digits with 88% accuracy. Our approach is scalable and trainable for applications to unmanned vehicle and real-time video recognition.

Original languageEnglish
Title of host publication2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781557524669
StatePublished - 2022
Externally publishedYes
Event2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - San Diego, United States
Duration: 6 Mar 202210 Mar 2022

Publication series

Name2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

Conference

Conference2022 Optical Fiber Communications Conference and Exhibition, OFC 2022
Country/TerritoryUnited States
CitySan Diego
Period6/03/2210/03/22

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