Single-shot polarimetry of vector beams by supervised learning

Davide Pierangeli; Claudio Conti

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arXiv · 2209.05393

Single-shot polarimetry of vector beams by supervised learning

Davide Pierangeli·Claudio Conti

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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.

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Davide Pierangeli, Claudio Conti. 2022-09-12. Single-shot polarimetry of vector beams by supervised learning. https://arxiv.org/abs/2209.05393

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