Experimental Study of a Prototype of a Superconducting Sigma Neuron for Adiabatic Neural Networks

Ionin, A.S.; Shuravin, N.S.; Karelina, L.N.; Rossolenko, A.N.; Sidel’nikov, M.S.; Egorov, S.V.; Chichkov, V.I.; Chichkov, M.V.; Zhdanova, M.V.; Shchegolev, A.E.; Bol’ginov, V.V.

Авторы: Ionin A.S., Shuravin N.S., Karelina L.N., Rossolenko A.N., Sidel’nikov M.S., Egorov S.V., Chichkov V.I., Chichkov M.V., Zhdanova M.V., Shchegolev A.E., Bol’ginov V.V.
Журнал: Journal of Experimental and Theoretical Physics
Том: 137
Номер: 6
Год издания: 2023
Издательство: Maik Nauka/Interperiodica Publishing
Местоположение издательства: Russian Federation
Первая страница: 888
Последняя страница: 898
DOI: 10.1134/s1063776123120191
Аннотация: The artificial neuron proposed earlier for use in superconducting neural networks is experimentally studied. The fabricated sample is a single-junction interferometer, part of the circuit of which is shunted by an additional inductance, which is also used to generate an output signal. A technological process has been developed and tested to fabricate a neuron in the form of a multilayer thin-film structure over a thick superconducting screen. The transfer function of the fabricated sample, which contains sigmoid and linear components, is experimentally measured. A theoretical model is developed to describe the relation between input and output signals in a practical superconducting neuron. The derived equations are shown to approximate experimental curves at a high level of accuracy. The linear component of the transfer function is shown to be related to the direct transmission of an input signal to a measuring circuit. Possible ways for improving the design of the sigma neuron are considered.
Добавил в систему: Щеголев Андрей Евгеньевич

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