Dynamic Processes in a Superconducting Adiabatic Neuron with Non-Shunted Josephson Contacts

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 f...

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Bibliographic Details
Published in:Symmetry (Basel) 2021-09, Vol.13 (9), p.1735
Main Authors: Bastrakova, Marina, Gorchavkina, Anastasiya, Schegolev, Andrey, Klenov, Nikolay, Soloviev, Igor, Satanin, Arkady, Tereshonok, Maxim
Format: Article
Language:English
Subjects:
Artificial intelligence
artificial neural networks
Dynamic characteristics
Energy efficiency
Equations of motion
Hamiltonian formalism
Josephson junction
Monte Carlo simulation
Neural networks
nonlinear oscillator
superconducting quantum interferometer
Superconductivity
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Summary: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.
ISSN:2073-8994
2073-8994
DOI:10.3390/sym13091735