Programmable On-chip Photonic CNN Enhanced by WDM and 2D-Joint Transform Correlation

We have fabricated and optimized a prototype programmable on-chip photonic convolutional neural network based on the joint transform correlator architecture. This prototype can be scalable through wavelength-division multiplexing and 2D extension for enhanced performance.

Authors

Russell L. T. Schwartz (ORCID: https://orcid.org/0009-0003-1214-8969)
Volker J. Sorger (ORCID: https://orcid.org/0000-0002-5152-4766)
Nicola Peserico (ORCID: https://orcid.org/0000-0003-2150-9618)
Hangbo Yang (ORCID: https://orcid.org/0000-0002-4067-6000)

Publication Details

Published: 2025-01-01
DOI: https://doi.org/10.1364/cleo_at.2025.aa128_7
Primary Topic: Neural Networks and Reservoir Computing
Type: article
Field-Weighted Citation Impact: 0.00

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article

Programmable On-chip Photonic CNN Enhanced by WDM and 2D-Joint Transform Correlation

Russell L. T. Schwartz, Volker J. Sorger, Nicola Peserico, Hangbo Yang

Jan 1, 2025

Neural Networks and Reservoir Computing

article

Programmable On-chip Photonic CNN Enhanced by WDM and 2D-Joint Transform Correlation

Russell L. T. Schwartz, Volker J. Sorger, Nicola Peserico, Hangbo Yang

January 1, 2025article en

Abstract

We have fabricated and optimized a prototype programmable on-chip photonic convolutional neural network based on the joint transform correlator architecture. This prototype can be scalable through wavelength-division multiplexing and 2D extension for enhanced performance.

Openalex Percentile: Top 87%

Neural Networks and Reservoir Computing

DOI Source OpenAlex

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Programmable On-chip Photonic CNN Enhanced by WDM and 2D-Joint Transform Correlation — Russell L. T. Schwartz, Volker J. Sorger, et al. · (2025) | TGRS Research Map | TGRS