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Optical neural network based on synthetic photonic lattices

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Date

2021

Authors

Sukhorukov, Andrey
Pankov, A.
Sidelnikov, Oleg S.
Vatnik, I. D.
Churkin, D. V.

Journal Title

Journal ISSN

Volume Title

Publisher

SPIE

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.

Description

Keywords

Deep Neural Network,, Optical Neural Networks, Synthetic Photonic Lattices

Citation

URI

http://hdl.handle.net/1885/306356

Collections

ANU Research Publications

Source

Type

Conference paper

Book Title

Entity type

Access Statement

Open Access

License Rights

DOI

10.1117/12.2594086

Restricted until

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Optical neural network.pdf (1.43 MB)

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