On-Demand Phase Control of a 7-Fiber Amplifiers Array with Neural Network and Quasi-Reinforcement Learning

On-Demand Phase Control of a 7-Fiber Amplifiers Array with Neural Network and Quasi-Reinforcement Learning

We report a coherent beam combining technique using a specific quasi-reinforcement learning scheme. A neural network learned by this method enables the tailoring and locking of a tiled beam array on any phase map. We present the experimental implementation of on-demand phase control by a neural netw...

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Bibliographic Details
Main Authors: Armand, P. (Author), Barthélémy, A. (Author), Boju, A. (Author), Desfarges-Berthelemot, A. (Author), Kermene, V. (Author), Maulion, G. (Author), Shpakovych, M. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
adaptive optics
coherent beam combining
deep learning
laser beam array
neural network
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