Superconducting adiabatic neuron in a quantum regime

  1. Marina V. Bastrakova,
  2. Dmitrii S. Pashin,
  3. Dmitriy A. Rybin,
  4. Andrey E. SchegolevORCID Logo,
  5. Nikolay V. KlenovORCID Logo,
  6. Igor I. SolovievORCID Logo,
  7. Anastasiya A. Gorchavkina and
  8. Arkady M. SataninORCID Logo

Submitting author affiliation: Lomonosov Moscow State University Skobeltsyn Institute of Nuclear Physics, Moscow, Russian Federation

Beilstein Arch. 2022, 202225. https://doi.org/10.3762/bxiv.2022.25.v1

Published 20 Apr 2022

  • Preprint

Abstract

We explore the dynamics of an adiabatic neural cell of a perceptron artificial neural network in a quantum regime. This mode of the cell operation is assumed for a hybrid system combining classical neural network having configuration 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.

Keywords: quantum-classical neural networks; superconducting quantum interferometer; quantum neuron; Josephson junction

How to Cite

When a peer-reviewed version of this preprint is available, this information will be updated in the information box above. If no peer-reviewed version is available, please cite this preprint using the following information:

Bastrakova, M. V.; Pashin, D. S.; Rybin, D. A.; Schegolev, A. E.; Klenov, N. V.; Soloviev, I. I.; Gorchavkina, A. A.; Satanin, A. M. Beilstein Arch. 2022, 202225. doi:10.3762/bxiv.2022.25.v1

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© 2022 Bastrakova et al.; licensee Beilstein-Institut.
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