Machine learning applications to ultrafast nonlinear dynamics in optical fibers

Goëry Genty

doi:10.1117/12.2678406

28 September 2023 Machine learning applications to ultrafast nonlinear dynamics in optical fibers

Goëry Genty

Proceedings Volume PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023; PC126550H (2023) https://doi.org/10.1117/12.2678406
Event: SPIE Nanoscience + Engineering, 2023, San Diego, California, United States

Abstract

We review the use of machine learning techniques in ultrafast fiber-optics systems. In particular, we discuss how machine learning can be used to extract useful information in the development of nonlinear instabilities from simple spectral measurements, to predict nonlinear dynamics in optical fibres for a wide range of input conditions, and how experimentally control nonlinear pulse propagation and supercontinuum generation.

Conference Presentation

Citation Download Citation

Goëry Genty "Machine learning applications to ultrafast nonlinear dynamics in optical fibers", Proc. SPIE PC12655, Emerging Topics in Artificial Intelligence (ETAI) 2023, PC126550H (28 September 2023); https://doi.org/10.1117/12.2678406

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