Deep-learning-based recognition of multi-singularity structured light.

ABSTRACT: Structured light with customized topological patterns inspires diverse classical and quantum investigations underpinned by accurate detection techniques. However, the current detection schemes are limited to vortex beams with a simple phase singularity. The precise recognition of general structured light with multiple singularities remains elusive. Here, we report deep learning (DL) framework that can unveil multi-singularity phase structures in an end-to-end manner, after feeding only two intensity patterns upon beam propagation. By outputting the phase directly, rich and intuitive information of twisted photons is unleashed. The DL toolbox can also acquire phases of Laguerre-Gaussian (LG) modes with a single singularity and other general phase objects likewise. Enabled by this DL platfor

SUBMITTER: Wang H 

PROVIDER: S-EPMC11501744 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature