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...

Full description

Bibliographic Details
Main Authors: Maksym Shpakovych, Geoffrey Maulion, Alexandre Boju, Paul Armand, Alain Barthélémy, Agnès Desfarges-Berthelemot, Vincent Kermene
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Photonics
Subjects:
coherent beam combining
neural network
adaptive optics
laser beam array
deep learning
Online Access:https://www.mdpi.com/2304-6732/9/4/243

Internet

https://www.mdpi.com/2304-6732/9/4/243

Similar Items