Nonlinear synthetic photonic lattices for optical neural networks

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Nonlinear synthetic photonic lattices for optical neural networks. / Pankov, Artem V.; Vatnik, Ilya D.; Sukhorukov, Andrey A.

2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

Harvard

Pankov, AV, Vatnik, ID & Sukhorukov, AA 2022, Nonlinear synthetic photonic lattices for optical neural networks. in 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss, Institute of Electrical and Electronics Engineers Inc., 2022 International Conference Laser Optics, ICLO 2022, St. Petersburg, Russian Federation, 20.06.2022. https://doi.org/10.1109/ICLO54117.2022.9839826

APA

Pankov, A. V., Vatnik, I. D., & Sukhorukov, A. A. (2022). Nonlinear synthetic photonic lattices for optical neural networks. In 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICLO54117.2022.9839826

Vancouver

Pankov AV, Vatnik ID, Sukhorukov AA. Nonlinear synthetic photonic lattices for optical neural networks. In 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss). doi: 10.1109/ICLO54117.2022.9839826

Author

Pankov, Artem V. ; Vatnik, Ilya D. ; Sukhorukov, Andrey A. / Nonlinear synthetic photonic lattices for optical neural networks. 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 International Conference Laser Optics, ICLO 2022 - Proceedingss).

BibTeX

@inproceedings{32c60a4b59764b77adea10463adf429c,

title = "Nonlinear synthetic photonic lattices for optical neural networks",

abstract = "We reveal that a synthetic photonic lattice based on coupled waveguide loops can serve as a feed-forward neural network for processing of optical pulse sequences in time domain. We demonstrate the capabilities of the system in solving three different problems. We perform efficient training for dispersion compensation for the pulse train distorted in a linear fiber-optic link. We also show that the optical network with an intrinsic Kerr-type nonlinearity can perform a flexible nonlinear transformation of the pulse amplitude as well as discrimination of different pulse sequences. ",

keywords = "Kerr nonlinearity, optical neural network, synthetic photonic lattice",

author = "Pankov, {Artem V.} and Vatnik, {Ilya D.} and Sukhorukov, {Andrey A.}",

note = "Ministry of Education and Science of the Russian Federation (FSUS-2020-0034) and the Australian Research Council (DP190100277). Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference Laser Optics, ICLO 2022 ; Conference date: 20-06-2022 Through 24-06-2022",

year = "2022",

doi = "10.1109/ICLO54117.2022.9839826",

language = "English",

isbn = "9781665466646",

series = "2022 International Conference Laser Optics, ICLO 2022 - Proceedingss",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 International Conference Laser Optics, ICLO 2022 - Proceedingss",

address = "United States",

}

RIS

TY - GEN

T1 - Nonlinear synthetic photonic lattices for optical neural networks

AU - Pankov, Artem V.

AU - Vatnik, Ilya D.

AU - Sukhorukov, Andrey A.

PY - 2022

Y1 - 2022

N2 - We reveal that a synthetic photonic lattice based on coupled waveguide loops can serve as a feed-forward neural network for processing of optical pulse sequences in time domain. We demonstrate the capabilities of the system in solving three different problems. We perform efficient training for dispersion compensation for the pulse train distorted in a linear fiber-optic link. We also show that the optical network with an intrinsic Kerr-type nonlinearity can perform a flexible nonlinear transformation of the pulse amplitude as well as discrimination of different pulse sequences.

AB - We reveal that a synthetic photonic lattice based on coupled waveguide loops can serve as a feed-forward neural network for processing of optical pulse sequences in time domain. We demonstrate the capabilities of the system in solving three different problems. We perform efficient training for dispersion compensation for the pulse train distorted in a linear fiber-optic link. We also show that the optical network with an intrinsic Kerr-type nonlinearity can perform a flexible nonlinear transformation of the pulse amplitude as well as discrimination of different pulse sequences.

KW - Kerr nonlinearity

KW - optical neural network

KW - synthetic photonic lattice

UR - http://www.scopus.com/inward/record.url?scp=85136433143&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c3698857-3a35-30bb-8c28-fe58df2faf65/

U2 - 10.1109/ICLO54117.2022.9839826

DO - 10.1109/ICLO54117.2022.9839826

M3 - Conference contribution

AN - SCOPUS:85136433143

SN - 9781665466646

T3 - 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss

BT - 2022 International Conference Laser Optics, ICLO 2022 - Proceedingss

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 International Conference Laser Optics, ICLO 2022

Y2 - 20 June 2022 through 24 June 2022

ER -

ID: 37020360