Experimental Demonstration of Optical Pattern Recognition Between Independent QPSK Channels Using Wave Mixing

We demonstrate optical pattern recognition between two independent 5-Gbaud QPSK inputs using nonlinear wave mixing. The output constellation symbols correspond to the different pattern recognition cases, where the upper-right symbol represents the matched cases.

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Publication Details

Published
2025-01-01
DOI
https://doi.org/10.1364/cleo_si.2025.ss103_7
Primary Topic
Neural Networks and Reservoir Computing
Type
article
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article

Experimental Demonstration of Optical Pattern Recognition Between Independent QPSK Channels Using Wave Mixing

Moshe Tur, Ruoyu Zeng, Narek Karapetyan, Yingning Wang et al.
Neural Networks and Reservoir Computing
article

Experimental Demonstration of Optical Pattern Recognition Between Independent QPSK Channels Using Wave Mixing

Moshe Tur, Ruoyu Zeng, Narek Karapetyan, Yingning Wang, Huibin Zhou, Amir Minoofar, Ahmed Almaiman, Xinzhou Su, Zile Jiang, Wing Ko, Jonathan L. Habif, Muralekrishnan Ramakrishnan, Abdulrahman Alhaddad, Alan E. Willner, Hongkun Lian
article en

Abstract

We demonstrate optical pattern recognition between two independent 5-Gbaud QPSK inputs using nonlinear wave mixing. The output constellation symbols correspond to the different pattern recognition cases, where the upper-right symbol represents the matched cases.

Openalex Percentile: Top 87%
Neural Networks and Reservoir Computing
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