Large-scale photonic computing with nonlinear disordered media

Hao Wang; Jianqi Hu; Andrea Morandi; Alfonso Nardi; Fei Xia; Xuanchen Li; Romolo Savo; Qiang Liu; Rachel Grange; Sylvain Gigan

doi:10.1117/12.3001884

13 March 2024 Large-scale photonic computing with nonlinear disordered media

Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, Sylvain Gigan

Author Affiliations +

Proceedings Volume 12903, AI and Optical Data Sciences V; 1290302 (2024) https://doi.org/10.1117/12.3001884
Event: SPIE OPTO, 2024, San Francisco, California, United States

Abstract

We propose and experimentally demonstrate a large-scale, high-performance photonic computing platform that simultaneously combines light scattering and optical nonlinearity. The core processing unit consists in a disordered polycrystalline lithium niobate slab bottom-up assembled from nanocrystals. Assisted by random quasiphase-matching, nonlinear speckles are generated as the complex interplay between the simultaneous linear random scattering and the second-harmonic generation based on the quadratic optical nonlinearity of the material. Compared to linear random projection, such nonlinear feature extraction demonstrates universal performance improvement across various machine learning tasks in image classification, univariate and multivariate regression, and graph classification.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hao Wang, Jianqi Hu, Andrea Morandi, Alfonso Nardi, Fei Xia, Xuanchen Li, Romolo Savo, Qiang Liu, Rachel Grange, and Sylvain Gigan "Large-scale photonic computing with nonlinear disordered media", Proc. SPIE 12903, AI and Optical Data Sciences V, 1290302 (13 March 2024); https://doi.org/10.1117/12.3001884

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