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13 March 2024 Universal polarization transformations using diffractive optical networks
Yuhang Li, Jingxi Li, Yifan Zhao, Tianyi Gan, Jingtian Hu, Mona Jarrahi, Aydogan Ozcan
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Proceedings Volume PC12903, AI and Optical Data Sciences V; PC129030W (2024) https://doi.org/10.1117/12.3000651
Event: SPIE OPTO, 2024, San Francisco, California, United States
Abstract
We present a universal polarization transformer composed of diffractive layers and linear polarizer arrays, capable of all-optically synthesizing a large set of complex-valued polarization scattering matrices between the polarization states at different positions within its input and output fields-of-view. We numerically demonstrated that our deep learning-based design could synthesize 10,000 different spatially-encoded polarization scattering matrices within a single diffractive volume. Using wire-grid polarizers and 3D-printed diffractive layers, we also demonstrated an experimental proof-of-concept by achieving an all-optical polarization permutation operation with 16. Our innovative framework can inspire new devices with versatile polarization control capabilities in various fields.
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Yuhang Li, Jingxi Li, Yifan Zhao, Tianyi Gan, Jingtian Hu, Mona Jarrahi, and Aydogan Ozcan "Universal polarization transformations using diffractive optical networks", Proc. SPIE PC12903, AI and Optical Data Sciences V, PC129030W (13 March 2024); https://doi.org/10.1117/12.3000651
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KEYWORDS
Polarization
Optical networks
Design and modelling
Matrices
Transformers
Light scattering
Modulation
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