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All-Optical Reservoir Computing via a Nonlinear Sagnac Interferometer for Machine Learning Applications

  • Luigi Di Lauro*
  • , A. Aadhi
  • , Pavel Dmitriev
  • , Bennet Fischer
  • , Imtiaz Alamgir
  • , Celine Mazoukh
  • , Nicolas Perron
  • , Evgeny A. Viktorov
  • , Anton V. Kovalev
  • , Armaghan Eshaghi
  • , Mario Chemnitz
  • , Piotr Roztocki
  • , Shervin Vakili
  • , Brent E. Little
  • , Sai T. Chu
  • , David J. Moss
  • , Roberto Morandotti
  • *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 present an all-optical reservoir computing device based on a nonlinear Sagnac interferometer. By leveraging multiple wavelength input channels, we demonstrate high accuracy in machine learning prediction tasks, as exemplified by the Mackey-Glass time series benchmark. © 2025 Optica.
Original languageEnglish
Title of host publication2025 Conference on Lasers and Electro-Optics, CLEO 2025
PublisherIEEE
Number of pages2
ISBN (Electronic)9781957171500
ISBN (Print)9798350369120
DOIs
Publication statusPublished - May 2025
Event2025 Conference on Lasers and Electro-Optics (CLEO 2025) - Long Beach, United States
Duration: 4 May 20259 May 2025

Publication series

NameConference on Lasers and Electro-Optics, CLEO
ISSN (Print)2160-8989

Conference

Conference2025 Conference on Lasers and Electro-Optics (CLEO 2025)
PlaceUnited States
CityLong Beach
Period4/05/259/05/25

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

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