Manipulating the harmonic mode-locked regimes inside a fiber cavity by a reinforcement learning algorithm

Alexey Kokhanovskiy; Evgeny Kuprikov; Kirill Serebrennikov; Aram Mkrtchyan; Ayvaz Davletkhanov; Yuriy Gladush

doi:10.1117/12.2687649

26 November 2023 Manipulating the harmonic mode-locked regimes inside a fiber cavity by a reinforcement learning algorithm

Alexey Kokhanovskiy, Evgeny Kuprikov, Kirill Serebrennikov, Aram Mkrtchyan, Ayvaz Davletkhanov, Yuriy Gladush

Author Affiliations +

Proceedings Volume 12775, Quantum and Nonlinear Optics X; 127750N (2023) https://doi.org/10.1117/12.2687649
Event: SPIE/COS Photonics Asia, 2023, Beijing, China

Abstract

Harmonic mode-locked fiber lasers provide generation of the ultrashort pulse train with high repetition rates up to gigahertz scale. However, setting appropriate parameters for the laser cavity to reach a harmonic mode-locked regime is often a non-trivial task. Depending on the dynamic of adjustment of the cavity elements one may reach unstable, multipulsing or harmonic mode-locked regimes at the same end-point parameters. Here, we demonstrate the state-of-theart fiber mode-locked laser assisted with reinforcement Soft Actor-Critic algorithm that is capable of learning a dynamic strategy of adjusting cavity parameters to maximize the order of harmonic mode-locked regime. Control of the pumping power and nonlinear transmission function of the state-of-the-art single walled carbon nanotube saturable absorber allows reaching a stable harmonic mode-locked regime.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Alexey Kokhanovskiy, Evgeny Kuprikov, Kirill Serebrennikov, Aram Mkrtchyan, Ayvaz Davletkhanov, and Yuriy Gladush "Manipulating the harmonic mode-locked regimes inside a fiber cavity by a reinforcement learning algorithm", Proc. SPIE 12775, Quantum and Nonlinear Optics X, 127750N (26 November 2023); https://doi.org/10.1117/12.2687649

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