Elements of Hybrid Opto-superconducting Convolutional Neural Networks

A. Schegolev, N. Klenov, M. Tereshonok, S. Adjemov

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 Harvard Style

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 - Volume 1: PHOTOPTICS, ISBN 978-989-758-401-5, pages 135-139. DOI: 10.5220/0009100101350139


in Bibtex Style

@conference{photoptics20,
author={A. Schegolev and N. Klenov and M. Tereshonok and S. Adjemov},
title={Elements of Hybrid Opto-superconducting Convolutional Neural Networks},
booktitle={Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,},
year={2020},
pages={135-139},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009100101350139},
isbn={978-989-758-401-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Photonics, Optics and Laser Technology - Volume 1: PHOTOPTICS,
TI - Elements of Hybrid Opto-superconducting Convolutional Neural Networks
SN - 978-989-758-401-5
AU - Schegolev A.
AU - Klenov N.
AU - Tereshonok M.
AU - Adjemov S.
PY - 2020
SP - 135
EP - 139
DO - 10.5220/0009100101350139