Applications of artificial intelligence to nonlinear fiber-optics

Goëry Genty; Lauri Salmela; Mathilde Hary; Mehdi Mabed; Andrei Ermolaev; John M. Dudley

doi:10.1117/12.2650072

17 March 2023 Applications of artificial intelligence to nonlinear fiber-optics

Goëry Genty, Lauri Salmela, Mathilde Hary, Mehdi Mabed, Andrei Ermolaev, John M. Dudley

Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC124380L (2023) https://doi.org/10.1117/12.2650072
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

We review the use of machine learning techniques in ultrafast dynamics in fiber-optics systems. We discuss how neural networks can be used to correlate the spectral and temporal characteristics of dissipative soliton lasers and predict nonlinear dynamics in optical fibers for a wide range of input conditions. We also show how machine learning algorithm allow for optimizing supercontinuum generation.

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Citation Download Citation

Goëry Genty, Lauri Salmela, Mathilde Hary, Mehdi Mabed, Andrei Ermolaev, and John M. Dudley "Applications of artificial intelligence to nonlinear fiber-optics", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC124380L (17 March 2023); https://doi.org/10.1117/12.2650072

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KEYWORDS

Artificial intelligence

Fiber optics

Machine learning

Nonlinear optics

Optical fibers

Solitons

Multimode fibers

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