Artificial neural networks for nonlinear pulse shaping in optical fibers


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:
Additional Information: © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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
Last Modified: 12 Jun 2024 07:19
Date Deposited: 06 Jul 2020 08:48
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

Export / Share Citation


Additional statistics for this record