Digital Control of a Superconducting Adiabatic Sigma Neuron
Superconducting adiabatic neurons based on quantum parametrons make it possible to “calculate” sigmoid activation functions and their derivatives in an analog manner in one cycle with record energy efficiency. However, for the application of such systems, it is necessary to determine operation regimes that allow integration with Josephson digital circuits, where information is presented in the form of sequences of picosecond unipolar voltage pulses. The conditions allowing the pulse control of an adiabatic sigma neuron have been theoretically determined in this work. The obtained results allowed us to develop the design of the basic unit for the hardware implementation of analog–digital Josephson neural networks.
Authors
- M. V. Bastrakova (ORCID: https://orcid.org/0000-0002-6597-563X)
- Andrey E. Schegolev (ORCID: https://orcid.org/0000-0002-5381-3297)
- D. S. Pashin (ORCID: https://orcid.org/0000-0002-7326-562X)
- N. V. Klenov (ORCID: https://orcid.org/0000-0001-6265-3670)
- I. I. Soloviev (ORCID: https://orcid.org/0000-0001-9735-2720)
- S. V. Bakurskiy (ORCID: https://orcid.org/0000-0002-6010-6697)
- Georgy I. Gubochkin (ORCID: https://orcid.org/0009-0005-1416-8546)
Institutions
- Lomonosov Moscow State University (RU)
- Moscow Technical University of Communication and Informatics (RU)
- Russian Quantum Center (RU)
- N. I. Lobachevsky State University of Nizhny Novgorod (RU)
Publication Details
- Journal
- Journal of Experimental and Theoretical Physics Letters
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1134/s0021364025605779
- Primary Topic
- Neural Networks and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Russian Science Foundation
- Ministry of Science and Higher Education of the Russian Federation
- Foundation for the Advancement of Theoretical Physics and Mathematics
- Lomonosov Moscow State University