M. V. Tereshonok

TL;DR: In this paper, the authors consider adiabatic superconducting cells operating as an artificial neuron and synapse of a multilayer perceptron and their compact circuits contain just one and two Josephson junctions, respectively.

TL;DR: This work proposes the concept of using superconducting quantum interferometers for the implementation of neural network algorithms with extremely low power dissipation using adiabatic elements that are Josephson cells with sigmoid- and Gaussian-like activation functions.

TL;DR: In this article, the authors considered adiabatic superconducting cells operating as an artificial neuron and synapse of a multilayer perceptron and their compact circuits contain just one and two Josephson junctions, respectively.

TL;DR: In this paper, the authors presented the results of circuit simulations for the adiabatic flux-operating neuron and the connecting synapse based on the quantum flux parametron, which allows constructing ANNs with a magnetic representation of information in the form of direction and/or magnitude of the magnetic flux in the superconducting circuit.

TL;DR: In this article, an analysis of dynamic processes for the electromagnetic wave packet passing through the opaque media with quasi-free charges is presented, and the peculiarities of tunneling through the nonstationary plasma layer are analyzed.