Artificial neural networks for nonlinear pulse shaping in optical fibers

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.

Publication DOI: https://doi.org/10.1016/j.optlastec.2020.106439
Divisions: College of Engineering & Physical Sciences > School of Informatics and Digital Engineering > Electrical and Electronic Engineering
Additional Information: © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Neural networks,Nonlinear propagation,Optical fibers,Pulse shaping,Electronic, Optical and Magnetic Materials,Atomic and Molecular Physics, and Optics,Electrical and Electronic Engineering
Publication ISSN: 1879-2545
Full Text Link: https://arxiv.o ... /2002.08815.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2020-11
Published Online Date: 2020-07-03
Accepted Date: 2020-06-17
Authors: Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)
Finot, Christophe

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