Self-tuning fiber lasers: machine learning applied to optical systems

J. Nathan Kutz; Xing Fu; Steven Brunton

doi:10.1364/NP.2014.NTu4A.7

Advanced Photonics
OSA Technical Digest (online) (Optica Publishing Group, 2014),
paper NTu4A.7
•https://doi.org/10.1364/NP.2014.NTu4A.7

Self-tuning fiber lasers: machine learning applied to optical systems

J. Nathan Kutz, Xing Fu, and Steven Brunton

Nonlinear Photonics 2014

Barcelona Spain
27–31 July 2014
ISBN: 978-1-55752-820-9

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All-Optical Devices and Applications I (NTu4A)

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J. N. Kutz, X. Fu, and S. Brunton, "Self-tuning fiber lasers: machine learning applied to optical systems," in Advanced Photonics, OSA Technical Digest (online) (Optica Publishing Group, 2014), paper NTu4A.7.

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Abstract

We demonstrate that machine learning with adaptive control is capable of producing an efficient and optimal self-tuning algorithm for mode-locked fiber lasers. The methods can generalized to a variety of optical systems.

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