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Pis'ma v Zhurnal Èksperimental'noi i Teoreticheskoi Fiziki, 2024, Volume 120, Issue 11, Pages 863–870
DOI: https://doi.org/10.31857/S0370274X24120076 (Mi jetpl7388) 		 
This article is cited in 2 scientific papers (total in 2 papers)

CONDENSED MATTER

Generalized model of the superconducting sigma neuron

N. S. Shuravina, L. N. Karelinaa, A. S. Ioninabc, F. A. Razorenovba, M. S. Sidel'nikova, S. V. Egorova, V. V. Bol'ginova

a Osipyan Institute of Solid State Physics, Russian Academy of Sciences, Chernogolovka, Moscow region, 142432 Russia
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudnyi, Moscow region, 141701 Russia
c Joint Venture “Quantum Technologies,” Moscow, 121205 Russia
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DOI: https://doi.org/10.31857/S0370274X24120076
Abstract: The superconducting sigma neuron is a single-junction interferometer, with a part of the circuit shunted by an additional inductance, which is also used to generate the output signal. It was previously predicted that the transfer function of this device would be close to the sigmoidal one at a certain relation between the values of inductance of its parts. This interferometer can be fabricated as a multilayer thin-film structure over a superconducting screen, which allows measuring the output magnetic flux in a single element. An analysis of the experimental data showed that the use of a superconducting screen did not ensure complete independence of the sigma neuron elements, as was assumed in the theoretical model. This paper presents a generalized model of the stationary state of a sigma neuron that takes into account the interaction between all its parts, including the input and readout elements.
Funding agency Grant number
Russian Science Foundation 23-72-00053
The work was carried out at the Osipyan Institute of Solid State Physics, Russian Academy of Sciences, and was supported by the Russian Science Foundation, project no. 23-72-00053. Section 3.1 (as well as Sections I and II in the Supplementary Material) was prepared by graduate students of Moscow Institute of Physics and Technology (National Research University) A.S. Ionin and F.A. Razo-renov within their practical training program. Condition (23) and Section III in the Supplementary Material were obtained as a part of A.S. Ionin’s collaboration with “Joint Venture Quantum Technologies.”
Received: 12.09.2024
Revised: 24.10.2024
Accepted: 30.10.2024
English version:
Journal of Experimental and Theoretical Physics Letters, 2024, Volume 120, Issue 11, Pages 829–836
DOI: https://doi.org/10.1134/S0021364024603427
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: N. S. Shuravin, L. N. Karelina, A. S. Ionin, F. A. Razorenov, M. S. Sidel'nikov, S. V. Egorov, V. V. Bol'ginov, “Generalized model of the superconducting sigma neuron”, Pis'ma v Zh. Èksper. Teoret. Fiz., 120:11 (2024), 863–870; JETP Letters, 120:11 (2024), 829–836
Citation in format AMSBIB
\Bibitem{ShuKarIon24}
\by N.~S.~Shuravin, L.~N.~Karelina, A.~S.~Ionin, F.~A.~Razorenov, M.~S.~Sidel'nikov, S.~V.~Egorov, V.~V.~Bol'ginov
\paper Generalized model of the superconducting sigma neuron
\jour Pis'ma v Zh. \`Eksper. Teoret. Fiz.
\yr 2024
\vol 120
\issue 11
\pages 863--870
\mathnet{http://mi.mathnet.ru/jetpl7388}
\crossref{https://doi.org/10.31857/S0370274X24120076}
\edn{https://elibrary.ru/ENJUWT}
\transl
\jour JETP Letters
\yr 2024
\vol 120
\issue 11
\pages 829--836
\crossref{https://doi.org/10.1134/S0021364024603427}
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