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Universal polarization transformations using a deep learning-designed diffractive processor

  • Yuhang Li
  • , Jingxi Li
  • , Yifan Zhao
  • , Tianyi Gan
  • , Jingtian Hu
  • , Mona Jarrahi
  • , Aydogan Ozcan*
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We report a diffractive polarization processor, composed of engineered diffractive layers and polarizer arrays, to implement a large set of 10,000 arbitrarily-selected, complex-valued polarization scattering matrices, enabling universal polarization transformations between spatially-varying input-output polarization fields.

Original languageEnglish
Title of host publicationFrontiers in Optics
Subtitle of host publicationProceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023
PublisherOptical Society of America
ISBN (Electronic)9781957171296
DOIs
StatePublished - 2023
Externally publishedYes
EventFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023 - Tacoma, United States
Duration: 9 Oct 202312 Oct 2023

Publication series

NameFrontiers in Optics: Proceedings Frontiers in Optics + Laser Science 2023, FiO, LS 2023

Conference

ConferenceFrontiers in Optics + Laser Science 2023, FiO, LS 203: Part of Frontiers in Optics + Laser Science 2023
Country/TerritoryUnited States
CityTacoma
Period9/10/2312/10/23

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