Dynamic processes in a superconducting adiabatic neuron with non-shunted josephson contacts

Marina V. Bastrakova ^{1, 2}

Anastasiya Gorchavkina ^{1, 3}

Andrey Schegolev ^{2, 4}

Nikolay V. Klenov ⁵

Igor I. Soloviev ^{4, 6}

Arkady M. Satanin ^{3, 6}

Maxim Tereshonok ^{2, 7}

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Faculty of Physics, Lobachevsky State University of Nizhny Novgorod, 603950 Nizhny Novgorod, Russia |

Science and Research Department, Moscow Technical University of Communication and Informatics, 111024 Moscow, Russia |

Higher School of Economics, Russia National Research University, 101000 Moscow, Russia |

⁴

Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State University, 119991 Moscow, Russia |

⁵

Faculty of Physics, Lomonosov Moscow State University, 119991 Moscow, Russia |

⁶

Dukhov All-Russia Research Institute of Automatics, 101000 Moscow, Russia |

⁷

Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia |

Publication type: Journal Article

Publication date: 2021-09-18

MDPI

Journal: Symmetry

scimago Q2

SJR: 0.485

CiteScore: 5.4

Impact factor: 2.2

ISSN: 20738994

DOI: 10.3390/sym13091735

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Chemistry (miscellaneous)

Physics and Astronomy (miscellaneous)

General Mathematics

Computer Science (miscellaneous)

Abstract

We investigated the dynamic processes in a superconducting neuron based on Josephson contacts without resistive shunting (SC-neuron). Such a cell is a key element of perceptron-type neural networks that operate in both classical and quantum modes. The analysis of the obtained results allowed us to find the mode when the transfer characteristic of the element implements the “sigmoid” activation function. The numerical approach to the analysis of the equations of motion and the Monte Carlo method revealed the influence of inertia (capacitances), dissipation, and temperature on the dynamic characteristics of the neuron.

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