Machine learning approach for nonlinear pulse shaping in optical fibres

Sonia Boscolo; Christophe Finot

Machine learning approach for nonlinear pulse shaping in optical fibres

Sonia Boscolo^*, Christophe Finot

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

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.

Original language	English
Title of host publication	Book of Abstracts of Photon 2020
Publisher	Institute of Physics
Number of pages	1
Publication status	Published - 4 Sept 2020
Event	Photon 2020 - Virtual event, Manchester, United Kingdom Duration: 1 Sept 2020 → 4 Sept 2020 http://www.photon.org.uk/home

Conference

Conference	Photon 2020
Country/Territory	United Kingdom
City	Manchester
Period	1/09/20 → 4/09/20
Internet address	http://www.photon.org.uk/home

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Machine learning approach for nonlinear pulse shaping in optical fibres
© 2020 The Authors
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@inproceedings{c25e29cfcf8b4150882494f5ef374409,

title = "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.",

author = "Sonia Boscolo and Christophe Finot",

note = "{\textcopyright} 2020 The Authors; Photon 2020 ; Conference date: 01-09-2020 Through 04-09-2020",

year = "2020",

month = sep,

day = "4",

language = "English",

booktitle = "Book of Abstracts of Photon 2020",

publisher = "Institute of Physics",

url = "http://www.photon.org.uk/home",

}

TY - GEN

T1 - Machine learning approach for nonlinear pulse shaping in optical fibres

AU - Boscolo, Sonia

AU - Finot, Christophe

PY - 2020/9/4

Y1 - 2020/9/4

N2 - 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.

AB - 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.

M3 - Conference publication

BT - Book of Abstracts of Photon 2020

PB - Institute of Physics

T2 - Photon 2020

Y2 - 1 September 2020 through 4 September 2020

ER -

Machine learning approach for nonlinear pulse shaping in optical fibres

Abstract

Conference

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Cite this