Optical deep learning with nonlinear multimode signals

Yuval Tamir; Hamootal Duadi; Moti Fridman

doi:10.1117/12.2648913

17 March 2023 Optical deep learning with nonlinear multimode signals

Yuval Tamir, Hamootal Duadi, Moti Fridman

Proceedings Volume PC12438, AI and Optical Data Sciences IV; PC1243805 (2023) https://doi.org/10.1117/12.2648913
Event: SPIE OPTO, 2023, San Francisco, California, United States

Abstract

A deep learning network requires high-performance computer systems for solving complex problems with millions of parameters. In our lab, we develop a fully optical machine learning system that is based on the nonlinear four wave mixing process in multimode fibers. We exploit the optical nonlinear interactions between waves for developing a deep learning system faster than electronic based systems. finally, we resort to quantum light for realizing quantum deep learning system, which can bring the deep learning techniques to the quantum field. In this talk, we will present details of our novel system and discuss our preliminary results.

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Citation Download Citation

Yuval Tamir, Hamootal Duadi, and Moti Fridman "Optical deep learning with nonlinear multimode signals", Proc. SPIE PC12438, AI and Optical Data Sciences IV, PC1243805 (17 March 2023); https://doi.org/10.1117/12.2648913

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