Artificial neural networks for nonlinear pulse shaping in optical fibers

Sonia Boscolo, Christophe Finot*

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

We use a supervised machine-learning model based on a neural network to predict the temporal and spectral intensity profiles of the pulses that form upon nonlinear propagation in optical fibers with both normal and anomalous second-order dispersion. We also show that the model is able to retrieve the parameters of the
nonlinear propagation from the pulses observed at the output of the fiber. Various initial pulse shapes as well as initially chirped pulses are investigated.
Original languageEnglish
Article number106439
Number of pages7
JournalOptics and Laser Technology
Volume131
Early online date3 Jul 2020
DOIs
Publication statusE-pub ahead of print - 3 Jul 2020

Bibliographical note

© 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

  • Pulse shaping, Neural networks, Nonlinear propagation, Optical fibers

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