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: Engineering & Applied Sciences > Aston Institute of Photonics Technology
Engineering & Applied 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
PURE Output Type: Conference contribution
Published Date: 2020-09-04
Authors: Boscolo, Sonia ( 0000-0001-5388-2893)
Finot, Christophe

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Version: Accepted Version

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