Single-shot polarimetry of vector beams by supervised learning.

ABSTRACT: States of light encoding multiple polarizations - vector beams - offer unique capabilities in metrology and communication. However, their practical application is limited by the lack of methods for measuring many polarizations in a scalable and compact way. Here we demonstrate polarimetry of vector beams in a single shot without any polarization optics. We map the beam polarization content into a spatial intensity distribution through light scattering and exploit supervised learning for single-shot measurements of multiple polarizations. We characterize structured light encoding up to nine polarizations with accuracy beyond 95% on each Stokes parameter. The method also allows us to classify beams with an unknown number of polarization modes, a functionality missing in conventional techniqu

SUBMITTER: Pierangeli D 

PROVIDER: S-EPMC10067938 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature