Optical neural network based on synthetic photonic lattices

Artem V. Pankov, Oleg S. Sidelnikov, Ilya D. Vatnik*, Dmitry V. Churkin, Andrey A. Sukhorukov

*Corresponding author for this work

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

Abstract

We reveal that synthetic photonic lattices based on coupled fiber loops can realize deep neural networks for coherent manipulation of optical pulse trains, which could lead to advances in communications and real-Time data analysis. We show the platform feasibility for an essential task of telecommunication signal equalization. We also demonstrated that utilizing all-optical Kerr nonlinearity within the system may open a path to complex signal manipulation.

Original languageEnglish
Title of host publicationOptics and Photonics for Information Processing XV
EditorsKhan M. Iftekharuddin, Abdul A. S. Awwal, Victor Hugo Diaz-Ramirez, Andres Marquez
PublisherSPIE
ISBN (Electronic)9781510644762
DOIs
Publication statusPublished - 2021
EventOptics and Photonics for Information Processing XV 2021 - San Diego, United States
Duration: 1 Aug 20215 Aug 2021

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume11841
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceOptics and Photonics for Information Processing XV 2021
Country/TerritoryUnited States
CitySan Diego
Period1/08/215/08/21

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