Control of spectral extreme events in ultrafast fiber lasers by a genetic algorithm

Abstract

Extreme wave events or rogue waves (RWs) are both statistically rare and of exceptionally large amplitude. They are observed in many complex systems ranging from oceanic and optical environments to financial models and Bose–Einstein condensates. As they appear from nowhere and disappear without a trace, their emergence is unpredictable and non-repetitive, which makes them particularly challenging to control. Here, the use of genetic algorithms (GAs), which are exclusively designed for searching and optimizing stationary or repetitive processes in nonlinear optical systems, is extended to the active control of extreme events in a fiber laser cavity. Feeding real-time spectral measurements into a GA controlling the electronics to optimize the cavity parameters, the wave events are able to be triggered in the cavity that have the typical statistics of RWs in the frequency domain. The intensity of the induced RWs can also be tailored. This accurate control enables the generation of optical RWs with a spectral peak intensity 32.8 times higher than the significant intensity threshold. A rationale is proposed and confirmed by numerical simulations of the laser model for the related frequency up- and downshifting of the optical spectrum that are experimentally observed.

Publication DOI: https://doi.org/10.1002/lpor.202200470
Divisions: College of Engineering & Physical Sciences > Aston Institute of Photonics Technology (AIPT)
Funding Information: The National Natural Science Fund of China (11621404, 11561121003, 11727812, 61775059, and 11704123); the Key Project of Shanghai Education Commission (2017‐01‐07‐00‐05‐E00021); the Science and Technology Innovation Program of Basic Science Foundation of
Additional Information: For the purpose of open access, the author has applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising
Uncontrolled Keywords: machine learning,mode locking,rogue waves,Electronic, Optical and Magnetic Materials,Condensed Matter Physics,Atomic and Molecular Physics, and Optics
Publication ISSN: 1863-8899
Last Modified: 13 Jun 2024 07:39
Date Deposited: 30 Nov 2023 16:22
Full Text Link:
Related URLs: https://onlinel ... /lpor.202200470 (Publisher URL)
http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2023-11-22
Published Online Date: 2023-11-22
Accepted Date: 2023-10-31
Authors: Wu, Xiuqi
Zhang, Ying
Peng, Junsong
Boscolo, Sonia (ORCID Profile 0000-0001-5388-2893)
Finot, Christophe
Zeng, Heping

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