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A superconducting adiabatic neuron in a quantum regime

We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of cell operation is assumed for a hybrid system of a classical neural network whose configuration is dynamically adjusted by a quantum co-processor. Analytical and numerical...

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Autores principales: Bastrakova, Marina V, Pashin, Dmitrii S, Rybin, Dmitriy A, Schegolev, Andrey E, Klenov, Nikolay V, Soloviev, Igor I, Gorchavkina, Anastasiya A, Satanin, Arkady M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Beilstein-Institut 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296986/
https://www.ncbi.nlm.nih.gov/pubmed/35923170
http://dx.doi.org/10.3762/bjnano.13.57
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author Bastrakova, Marina V
Pashin, Dmitrii S
Rybin, Dmitriy A
Schegolev, Andrey E
Klenov, Nikolay V
Soloviev, Igor I
Gorchavkina, Anastasiya A
Satanin, Arkady M
author_facet Bastrakova, Marina V
Pashin, Dmitrii S
Rybin, Dmitriy A
Schegolev, Andrey E
Klenov, Nikolay V
Soloviev, Igor I
Gorchavkina, Anastasiya A
Satanin, Arkady M
author_sort Bastrakova, Marina V
collection PubMed
description We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of cell operation is assumed for a hybrid system of a classical neural network whose configuration is dynamically adjusted by a quantum co-processor. Analytical and numerical studies take into account non-adiabatic processes as well as dissipation, which leads to smoothing of quantum coherent oscillations. The obtained results indicate the conditions under which the neuron possesses the required sigmoid activation function.
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spelling pubmed-92969862022-08-02 A superconducting adiabatic neuron in a quantum regime Bastrakova, Marina V Pashin, Dmitrii S Rybin, Dmitriy A Schegolev, Andrey E Klenov, Nikolay V Soloviev, Igor I Gorchavkina, Anastasiya A Satanin, Arkady M Beilstein J Nanotechnol Full Research Paper We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of cell operation is assumed for a hybrid system of a classical neural network whose configuration is dynamically adjusted by a quantum co-processor. Analytical and numerical studies take into account non-adiabatic processes as well as dissipation, which leads to smoothing of quantum coherent oscillations. The obtained results indicate the conditions under which the neuron possesses the required sigmoid activation function. Beilstein-Institut 2022-07-14 /pmc/articles/PMC9296986/ /pubmed/35923170 http://dx.doi.org/10.3762/bjnano.13.57 Text en Copyright © 2022, Bastrakova et al. https://creativecommons.org/licenses/by/4.0/This is an open access article licensed under the terms of the Beilstein-Institut Open Access License Agreement (https://www.beilstein-journals.org/bjnano/terms/terms), which is identical to the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ). The reuse of material under this license requires that the author(s), source and license are credited. Third-party material in this article could be subject to other licenses (typically indicated in the credit line), and in this case, users are required to obtain permission from the license holder to reuse the material.
spellingShingle Full Research Paper
Bastrakova, Marina V
Pashin, Dmitrii S
Rybin, Dmitriy A
Schegolev, Andrey E
Klenov, Nikolay V
Soloviev, Igor I
Gorchavkina, Anastasiya A
Satanin, Arkady M
A superconducting adiabatic neuron in a quantum regime
title A superconducting adiabatic neuron in a quantum regime
title_full A superconducting adiabatic neuron in a quantum regime
title_fullStr A superconducting adiabatic neuron in a quantum regime
title_full_unstemmed A superconducting adiabatic neuron in a quantum regime
title_short A superconducting adiabatic neuron in a quantum regime
title_sort superconducting adiabatic neuron in a quantum regime
topic Full Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9296986/
https://www.ncbi.nlm.nih.gov/pubmed/35923170
http://dx.doi.org/10.3762/bjnano.13.57
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