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30 September 2024 Photonic computing using reconfigurable liquid crystal based scattering media
Tunan Xia, Cheng-Kuan Wu, Tsung-Hsien Lin, Xingjie Ni, Iam-Choon Khoo, Zhiwen Liu
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Proceedings Volume PC13121, Liquid Crystals XXVIII; PC1312109 (2024) https://doi.org/10.1117/12.3028859
Event: Organic Photonics + Electronics, 2024, San Diego, California, United States
Abstract
We present an optical learning framework based on reconfigurable liquid crystal/polymer composite (LC/PC) scattering media. Our design leverages multiple scatterings between the LC/PC sample and a spatial light modulator (or a digital mirror device) that encodes the input data to realize random nonlinear optical mapping in a tunable manner. The system is applied to several learning tasks to demonstrate its capabilities. The reconfigurability of the LC/PC can optimize the learning performance, and enable photonic ensemble learning, which further improves the overall performance.
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Tunan Xia, Cheng-Kuan Wu, Tsung-Hsien Lin, Xingjie Ni, Iam-Choon Khoo, and Zhiwen Liu "Photonic computing using reconfigurable liquid crystal based scattering media", Proc. SPIE PC13121, Liquid Crystals XXVIII, PC1312109 (30 September 2024); https://doi.org/10.1117/12.3028859
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KEYWORDS
Liquid crystals
Scattering media
Optical computing
Crystals
Design
Liquids
Mirrors
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