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 multiple light scattering and exploit supervised learning for single-shot measurements of multiple polarizations. The method also allows us to classify beams with an unknown number of polarization modes, a functionality missing in conventional techniques. Our findings enable a fast and compact polarimeter for polarization-structured light, a universal tool that may radically impact optical devices for sensing, imaging, and computing.
Cite
@article{arxiv.2209.05393,
title = {Single-shot polarimetry of vector beams by supervised learning},
author = {Davide Pierangeli and Claudio Conti},
journal= {arXiv preprint arXiv:2209.05393},
year = {2022}
}