Presentation + Paper
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
Author Affiliations +
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.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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