Neuromorphic computing has been attracting ever‐increasing attention due to superior
energy efficiency, with great promise to promote the next wave of artificial general …

Neuromorphic computing is a broad field that uses biological inspiration to address
computing design. It is being pursued in many hardware technologies, both novel and …

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

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

High-performance modeling of neurophysiological processes is an urgent task that requires
new approaches to information processing. In this context, two-and three-junction …

The ongoing progress of superconducting logic systems with Josephson junctions as base
elements requires the development of compatible cryogenic memory. Long enough …

Made of a thin non-superconducting metal (N) sandwiched by two superconductors (S), SNS
Josephson junctions enable novel quantum functionalities by mixing up the intrinsic …

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 …

The supercurrent in a Josephson SF 1 S 1 F 2 sIS spin valve (“S” is for superconductor,“F” is
for ferromagnet, and “I” is for insulator) is studied theoretically. It is found that by rotating the …

A novel high-fan-in differential superconductor neuron structure designed for ultra-high-
performance Spiking Neural Network (SNN) accelerators is presented. Utilizing a high-fan-in …