Elements of Hybrid Opto-superconducting Convolutional Neural Networks

A. E. Schegolev; A. E. Schegolev; A. E. Schegolev; N. V. Klenov; N. V. Klenov; N. V. Klenov; N. V. Klenov; M. V. Tereshonok; S. S. Adjemov

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Paper

Elements of Hybrid Opto-superconducting Convolutional Neural Networks

Topics: Microphotonics, Nanophotonics and Optical Manipulation; Microwave Photonics; Nonlinear Optics and Photonics

In Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology PHOTOPTICS - Volume 1, 135-139, 2020 , Valletta, Malta

Authors: A. E. Schegolev ^{1

;

2

;

3} ; N. V. Klenov ^{1

;

4

;

2

;

3} ; M. V. Tereshonok ² and S. S. Adjemov ²

Affiliations: ¹ Faculty of Physics, Lomonosov Moscow State University, 119991, Moscow, Russia ; ² Moscow Technical University of Communication and Informatics, 111024, Moscow, Russia ; ³ Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119234, Moscow, Russia ; ⁴ Moscow Institute of Physics and Technology, Dolgoprudny, 141701, Russia

Keyword(s): Artificial Intelligent, Integrated Photonics, Convolutional Neural Network, Neuron, Superconductor, ReLU.

Abstract: In this paper authors proposed the concepts and principals of operating of basic nonlinear elements for hybrid opto–superconducting convolutional neural network. Optical elements in computing systems are usually designed to produce only linear mathematical operations. This is insufficient for complete neural network realization on chip, where non-linear operations like activation function calculations in neuron or transfer function of rectifier linear unit are needed. We have shown the opportunity of realization of elemental base for the hybrid neural network consists of optical and superconducting parts.

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Paper citation in several formats:

Schegolev, A.; Klenov, N.; Tereshonok, M. and Adjemov, S. (2020). Elements of Hybrid Opto-superconducting Convolutional Neural Networks. In Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology - PHOTOPTICS; ISBN 978-989-758-401-5; ISSN 2184-4364, SciTePress, pages 135-139. DOI: 10.5220/0009100101350139

@conference{photoptics20,
author={A. E. Schegolev. and N. V. Klenov. and M. V. Tereshonok. and S. S. Adjemov.},
title={Elements of Hybrid Opto-superconducting Convolutional Neural Networks},
booktitle={Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology - PHOTOPTICS},
year={2020},
pages={135-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009100101350139},
isbn={978-989-758-401-5},
issn={2184-4364},
}

TY - CONF

JO - Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology - PHOTOPTICS
TI - Elements of Hybrid Opto-superconducting Convolutional Neural Networks
SN - 978-989-758-401-5
IS - 2184-4364
AU - Schegolev, A.
AU - Klenov, N.
AU - Tereshonok, M.
AU - Adjemov, S.
PY - 2020
SP - 135
EP - 139
DO - 10.5220/0009100101350139
PB - SciTePress