A radical reduction in power consumption is becoming an important task in the development
of supercomputers. Artificial neural networks (ANNs) based on superconducting elements of …

The hardware implementation of signal microprocessors based on superconducting
technologies seems relevant for a number of niche tasks where performance and energy …

An energy-efficient adiabatic learning neuro cell is proposed. The cell can be used for on-
chip learning of adiabatic superconducting artificial neural networks. The static and dynamic …

В последнее время большой интерес исследователей вызывают технологии и
алгоритмы нейроморфных вычислений (см., например,[1–13]). Последние активно …

The paper presents an analytical review of theoretical methods for modeling functional
nanostructures. The main evolutionary changes in the approaches of quantum-mechanical …

The popularity and diversity of artificial neural networks for various applications are ever
increasing. The development of neural networks in the form of software models and …

The artificial neuron proposed earlier for use in superconducting neural networks is
experimentally studied. The fabricated sample is a single-junction interferometer, part of the …

The transfer function of a shunted two-junction interferometer, which was previously
proposed as a basic element of superconducting neural networks based on radial basis …

In this article, we consider designs of simple analog artificial neural networks based on
adiabatic Josephson cells with a sigmoid activation function. A new approach based on the …

Josephson digital or analog ancillary circuits are an essential part of a large number of
modern quantum processors. The natural candidate for the basis of tuning, coupling, and …