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On-chip online learning and inference for photonic pattern recognition

  • Bicky A. Marquez
  • , Zhimu Guo
  • , Hugh Morison
  • , Sudip Shekhar
  • , Lukas Chrostowski
  • , Paul Prucnal
  • , Bhavin J. Shastri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recent investigations in neuromorphic photonics exploits photonics for neuron models. Here, we experimentally demonstrate a silicon photonic chip that can perform training and testing of a Hopfield network to reconstruct corrupted input patterns.

Original languageEnglish (US)
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580910
StatePublished - May 2021
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: May 9 2021May 14 2021

Publication series

Name2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period5/9/215/14/21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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