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.
Authors
- Alon Bahabad
- Barak Hadad (ORCID: https://orcid.org/0000-0002-7328-7319)
- Gilad Robert Barir
- Daniel Marima (ORCID: https://orcid.org/0000-0002-3744-8090)
- Oded Katz (ORCID: https://orcid.org/0000-0001-9346-3853)
Institutions
- Tel Aviv University (IL)
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