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Machine learning for ultrafast nonlinear fibre photonics

  • Christophe Finot
  • , Sonia Boscolo
  • , Junsong Peng
  • , Andrei Ermolaev
  • , Anastasiia Sheveleva
  • , John M. Dudley
  • Université de Bourgogne
  • Université Bourgogne Franche-Comté
  • Université de Bourgogne Franche-Comté
  • University of Southampton
  • Université de Bourgogne Franche-Comté
  • State Key Laboratory of Precision Spectroscopy, East China Normal University
  • Institut FEMTO-ST, UMR 6174 CNRS, Université de Franche-Comté
  • Université de Franche-Comté
  • Institut FEMTO-ST

Research output: Chapter in Book/Published conference outputConference publication

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Abstract

We provide an overview of our latest advances in the application of machine learning methods to ultrafast nonlinear fibre optics. We establish that neural networks are capable of accurately forecasting the temporal and spectral properties of optical signals that are obtained after propagation in the focusing or defocusing regimes of nonlinearity. Machine learning is also efficient in addressing the related inverse problem as well as providing insights into the underlying physical process. In addition, we illustrate the use of evolutionary algorithms to access and optimise complex nonlinear dynamics of ultrafast fibre lasers.
Original languageEnglish
Title of host publicationProceedings of the 24th International Conference on Transparent Optical Networks (ICTON 2024)
EditorsFrancesco Prudenzano, Marian Marciniak
PublisherIEEE
Number of pages4
ISBN (Electronic)979-8-3503-7730-9
ISBN (Print)979-8-3503-7730-9
DOIs
Publication statusPublished - 2 Sept 2024
Event2024 24th International Conference on Transparent Optical Network - Polytechnic University of Bari, Bari, Italy
Duration: 14 Jul 202418 Jul 2024
https://icton2024.fbk.eu/home

Publication series

NameInternational Conference on Transparent Optical Networks
ISSN (Print)2162-7339

Conference

Conference2024 24th International Conference on Transparent Optical Network
Abbreviated titleICTON 2024
Country/TerritoryItaly
CityBari
Period14/07/2418/07/24
Internet address

Bibliographical note

Copyright © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Funding

The authors acknowledge support from the French program ‘Investments d’Avenir’ (EIPHI-BFC Graduate School, contract ANR-17-EURE-0002) and the OPTIMAL grant (contract ANR-20-CE30-0004) operated by the French Agence Nationale de la Recherche (ANR), as well as from the Région Bourgogne Franche-Comté and the European Regional Development Fund.

FundersFunder number
Conseil régional de Bourgogne-Franche-Comté
Agence Nationale de la Recherche
European Regional Development Fund
EIPHI-BFCANR-17-EURE-0002, ANR-20-CE30-0004

    Keywords

    • machine-learning
    • nonlinear fiber photonics
    • ultrafast nonlinear optics

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