Phase corrections by means of machine learning

par M. Maksym Shpakovych (Université de Limoges)

vendredi 16 oct. 2020, 11:00 → 12:00 Europe/Paris

XLIM Salle X.203

An innovative scheme is proposed for the dynamic control of phase in laser beam array. It is based on a simple neural network that predicts the complex field array from the intensity of the induced scattered pattern through a phase intensity transformer made of a diffuser. A crucial feature of this scheme is the use of a kind of reinforcement learning approach for the NN training which takes account of the iterated corrections. Experiments on a proof of concept system demonstrated the high performance and scalability of the scheme with an array of up to 100 beams.