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1 August 2021 Optical neural network based on synthetic photonic lattices
Artem V. Pankov, Oleg S. Sidelnikov, Ilya D. Vatnik, Dmitry V. Churkin, Andrey A. Sukhorukov
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Proceedings Volume 11841, Optics and Photonics for Information Processing XV; 118410A (2021) https://doi.org/10.1117/12.2594086
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States
Abstract
We reveal that synthetic photonic lattices based on coupled fiber loops can realize deep neural networks for coherent manipulation of optical pulse trains, which could lead to advances in communications and real-time data analysis. We show the platform feasibility for an essential task of telecommunication signal equalization. We also demonstrated that utilizing all-optical Kerr nonlinearity within the system may open a path to complex signal manipulation.
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Artem V. Pankov, Oleg S. Sidelnikov, Ilya D. Vatnik, Dmitry V. Churkin, and Andrey A. Sukhorukov "Optical neural network based on synthetic photonic lattices", Proc. SPIE 11841, Optics and Photonics for Information Processing XV, 118410A (1 August 2021); https://doi.org/10.1117/12.2594086
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KEYWORDS
Neural networks
Telecommunications
Optical fibers
Data processing
Nonlinear optics
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