Optical computing using nonlinear optical diffraction

Alon Bahabad; Oded Katz; Gilad Barir; Barak Hadad; Daniel Marima

doi:10.1117/12.3016135

18 June 2024 Optical computing using nonlinear optical diffraction

Alon Bahabad, Oded Katz, Gilad Barir, Barak Hadad, Daniel Marima

Proceedings Volume PC13017, Machine Learning in Photonics; PC130170K (2024) https://doi.org/10.1117/12.3016135
Event: SPIE Photonics Europe, 2024, Strasbourg, France

Abstract

We present a single-layer optical inference system based on nonlinear optical diffraction. In this system, input optical data is superposed with control parameters and then focused into a nonlinear optical crystal leading to second harmonic generation which serves as the output of the system. We demonstrate image classification while utilizing a very low number of degrees of freedom. Importantly, the performance of the system can be tuned by controlling the level of spatial mode mixing in the nonlinear crystal.

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Alon Bahabad, Oded Katz, Gilad Barir, Barak Hadad, and Daniel Marima "Optical computing using nonlinear optical diffraction", Proc. SPIE PC13017, Machine Learning in Photonics, PC130170K (18 June 2024); https://doi.org/10.1117/12.3016135

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KEYWORDS

Nonlinear optics

Optical computing

Diffraction

Computing systems

Machine learning

Complex systems

Control systems

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