Open AccessRobust light beam diffractive shaping based on a kind of compact all-optical neural network
Author(s) -
Shi Jin,
Wei Dong,
Cong Hu,
Mingce Chen,
Kewei Liu,
Jun Luo,
Xinyu Zhang
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.419123
Subject(s) - optics , beam (structure) , artificial neural network , light beam , computer science , laser beams , laser , diffraction , physics , artificial intelligence
A kind of compact all-optical learning-based neural network has been constructed and characterized for efficiently performing a robust layered diffractive shaping of laser beams. The data-driven control lightwave strategy demonstrates some particular advantages such as smart or intelligent light beam manipulation, optical data statistical inference and incident beam generalization. Based on the proposed method, several typical aberrated light fields can be effectively modulated into the desired fashion including the featured flat-top beams, an arrayed sub-beam arrangement and complex annular fringes compared with conventional GS-based DOEs. An actual THz laser is utilized to evaluate the effectiveness of the method developed.