Title:
ALL-OPTICAL IMPLEMENTATION OF MULTIPLE OPTICAL TRANSFORMATIONS THROUGH A POLARIZATION-ENCODED DIFFRACTIVE NETWORK
Document Type and Number:
WIPO Patent Application WO/2023/183859
Kind Code:
A3
Abstract:
A polarization multiplexed diffractive processor is disclosed that all-optically performs multiple, arbitrarily-selected transformations (e.g., linear) through a single diffractive network trained using deep learning. In this framework, an array of pre-selected linear polarizers is positioned between trainable transmissive diffractive materials that are isotropic, and different target linear transformations (complex-valued) are uniquely assigned to different combinations of input/output polarization states. The transmission layers of this polarization multiplexed diffractive network are trained and optimized via deep learning and error-backpropagation by using thousands of examples of the input/output fields corresponding to each one of the complex-valued linear transformations assigned to different input/output polarization combinations. This polarization-multiplexed all-optical diffractive processor can find various applications in optical computing and polarization-based machine vision tasks.
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Inventors:
OZCAN AYDOGAN (US)
LI JINGXI (US)
LI JINGXI (US)
Application Number:
PCT/US2023/064837
Publication Date:
December 07, 2023
Filing Date:
March 22, 2023
Export Citation:
Assignee:
UNIV CALIFORNIA (US)
International Classes:
G02B27/42; G02B5/18; G06N3/084; G06N20/00
Domestic Patent References:
| WO2022006018A1 | 2022-01-06 |
Foreign References:
| US20210097378A1 | 2021-04-01 | |||
| US20210027154A1 | 2021-01-28 |
Other References:
ZHOU TIANKUANG, FANG LU, YAN TAO, WU JIAMIN, LI YIPENG, FAN JINGTAO, WU HUAQIANG, LIN XING, DAI QIONGHAI: "In situ optical backpropagation training of diffractive optical neural networks", PHOTONICS RESEARCH, vol. 8, no. 6, 1 June 2020 (2020-06-01), US , pages 940 - 953, XP093118811, ISSN: 2327-9125, DOI: 10.1364/PRJ.389553
Attorney, Agent or Firm:
DAVIDSON, Michael S. (US)
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