Abstract
We provide an overview of our latest advances in the application of machine learning methods to ultrafast nonlinear fibre optics. We establish that neural networks are capable of accurately forecasting the temporal and spectral properties of optical signals that are obtained after propagation in the focusing or defocusing regimes of nonlinearity. Machine learning is also efficient in addressing the related inverse problem as well as providing insights into the underlying physical process. In addition, we illustrate the use of evolutionary algorithms to access and optimise complex nonlinear dynamics of ultrafast fibre lasers.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 24th International Conference on Transparent Optical Networks (ICTON 2024) |
| Editors | Francesco Prudenzano, Marian Marciniak |
| Publisher | IEEE |
| Number of pages | 4 |
| ISBN (Electronic) | 979-8-3503-7730-9 |
| ISBN (Print) | 979-8-3503-7730-9 |
| DOIs | |
| Publication status | Published - 2 Sept 2024 |
| Event | 2024 24th International Conference on Transparent Optical Network - Polytechnic University of Bari, Bari, Italy Duration: 14 Jul 2024 → 18 Jul 2024 https://icton2024.fbk.eu/home |
Publication series
| Name | International Conference on Transparent Optical Networks |
|---|---|
| ISSN (Print) | 2162-7339 |
Conference
| Conference | 2024 24th International Conference on Transparent Optical Network |
|---|---|
| Abbreviated title | ICTON 2024 |
| Country/Territory | Italy |
| City | Bari |
| Period | 14/07/24 → 18/07/24 |
| Internet address |
Bibliographical note
Copyright © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.Funding
The authors acknowledge support from the French program ‘Investments d’Avenir’ (EIPHI-BFC Graduate School, contract ANR-17-EURE-0002) and the OPTIMAL grant (contract ANR-20-CE30-0004) operated by the French Agence Nationale de la Recherche (ANR), as well as from the Région Bourgogne Franche-Comté and the European Regional Development Fund.
| Funders | Funder number |
|---|---|
| Conseil régional de Bourgogne-Franche-Comté | |
| Agence Nationale de la Recherche | |
| European Regional Development Fund | |
| EIPHI-BFC | ANR-17-EURE-0002, ANR-20-CE30-0004 |
Keywords
- machine-learning
- nonlinear fiber photonics
- ultrafast nonlinear optics
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