Machine learning approach for nonlinear pulse shaping in optical fibres

Abstract

We use a supervised machine-learning approach to solve both the direct and inverse problems relating to the nonlinear shaping of optical pulses in optical fibres.

Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
College of Engineering & Physical Sciences
Additional Information: © 2020 The Authors
Event Title: Photon 2020
Event Type: Other
Event Location: Virtual event
Event Dates: 2020-09-01 - 2020-09-04
Last Modified: 12 Jun 2024 07:30
Date Deposited: 07 Oct 2020 13:55
PURE Output Type: Conference contribution
Published Date: 2020-09-04
Authors: Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)
Finot, Christophe

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