@inproceedings{f7559c7e30c04423bd6716d70a06dc43,
title = "Deep neural networks with time-domain synthetic photonic lattices",
abstract = "We reveal that synthetic photonic lattice based on coupled fiber rings can realise deep neural networks foroptical pulse trains, and demonstrate the capabilities in efficient training for signal distortion compensation and nonlinear transformations.",
author = "Pankov, {Artem V.} and Sidelnikov, {Oleg S.} and Vatnik, {Ilya D.} and Churkin, {Dmitry V.} and Sukhorukov, {Andrey A.}",
note = "Funding Information: This work is supported by Ministry of Education and Science of the Russian Federation (FSUS-2020-0034) and the Australian Research Council (DP190100277).; 2021 European Quantum Electronics Conference, EQEC 2021 - Part of 2021 Conference on Lasers and Electro-Optics Europe, CLEO 2021 ; Conference date: 21-06-2021 Through 25-06-2021",
year = "2021",
language = "English",
series = "Optics InfoBase Conference Papers",
publisher = "The Optical Society",
booktitle = "European Quantum Electronics Conference, EQEC 2021",
address = "United States",
}