Robust light beam diffractive shaping based on a kind of compact all-optical neural network
Light beam
DOI:
10.1364/oe.419123
Publication Date:
2021-02-14T15:00:06Z
AUTHORS (7)
ABSTRACT
A kind of compact all-optical learning-based neural network has been constructed and characterized for efficiently performing a robust layered diffractive shaping laser beams. The data-driven control lightwave strategy demonstrates some particular advantages such as smart or intelligent light beam manipulation, optical data statistical inference incident generalization. Based on the proposed method, several typical aberrated fields can be effectively modulated into desired fashion including featured flat-top beams, an arrayed sub-beam arrangement complex annular fringes compared with conventional GS-based DOEs. An actual THz is utilized to evaluate effectiveness method developed.
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