Single-shot polarimetry of vector beams by supervised learning

Davide Pierangeli () and Claudio Conti
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Davide Pierangeli: Institute for Complex Systems - National Research Council (ISC-CNR)
Claudio Conti: Sapienza University of Rome

Nature Communications, 2023, vol. 14, issue 1, 1-8

Abstract: 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 techniques. Our findings enable a fast and compact polarimeter for polarization-structured light, a general tool that may radically impact optical devices for sensing, imaging, and computing.

Date: 2023
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DOI: 10.1038/s41467-023-37474-0

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