Optical inference using nonlinear optical diffraction

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

doi:10.1063/5.0212880

Optical inference using nonlinear optical diffraction

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

Tel Aviv University

Research output: Contribution to journal › Article › peer-review

Abstract

We present an optical inference platform based on the nonlinear interaction of a spatially modulated optical waveform in a second-harmonic-generation nonlinear crystal. Tuning the phase-matching condition allows for both efficient nonlinearity, required for general all-optical computing, and for optimizing the system performance, matching it to the spectral distribution of the input data to be processed.

Original language	English
Article number	101105
Journal	Applied Physics Letters
Volume	125
Issue number	10
DOIs	https://doi.org/10.1063/5.0212880
State	Published - 2 Sep 2024

All Science Journal Classification (ASJC) codes

Physics and Astronomy (miscellaneous)

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10.1063/5.0212880

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title = "Optical inference using nonlinear optical diffraction",

abstract = "We present an optical inference platform based on the nonlinear interaction of a spatially modulated optical waveform in a second-harmonic-generation nonlinear crystal. Tuning the phase-matching condition allows for both efficient nonlinearity, required for general all-optical computing, and for optimizing the system performance, matching it to the spectral distribution of the input data to be processed.",

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AU - Marima, Daniel

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AB - We present an optical inference platform based on the nonlinear interaction of a spatially modulated optical waveform in a second-harmonic-generation nonlinear crystal. Tuning the phase-matching condition allows for both efficient nonlinearity, required for general all-optical computing, and for optimizing the system performance, matching it to the spectral distribution of the input data to be processed.

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JO - Applied Physics Letters

JF - Applied Physics Letters

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Optical inference using nonlinear optical diffraction

Abstract

All Science Journal Classification (ASJC) codes

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