Optical inference using nonlinear optical diffraction

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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Publication Details

Journal
Applied Physics Letters
Published
2024-09-02
DOI
https://doi.org/10.1063/5.0212880
Citations
1
Primary Topic
Neural Networks and Reservoir Computing
Type
article
Field-Weighted Citation Impact
0.35
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Optical inference using nonlinear optical diffraction

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Optical inference using nonlinear optical diffraction

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article en
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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.

Applied Physics LettersVol. 125(10)
Tel Aviv University (IL)
Affordable and clean energy
Openalex Percentile: Top 34%
Neural Networks and Reservoir Computing
0.35
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