Beyond Moore's technologies: operation principles of a superconductor alternative
The predictions of Moore's law are considered by experts to be valid until 2020 giving rise to
“post-Moore's” technologies afterwards. Energy efficiency is one of the major challenges in …
“post-Moore's” technologies afterwards. Energy efficiency is one of the major challenges in …
[HTML][HTML] Ferromagnetic materials for Josephson π junctions
The past two decades have seen an explosion of work on Josephson junctions containing
ferromagnetic materials. Such junctions are under consideration for applications in digital …
ferromagnetic materials. Such junctions are under consideration for applications in digital …
Adiabatic superconducting artificial neural network: Basic cells
We consider adiabatic superconducting cells operating as an artificial neuron and synapse
of a multilayer perceptron (MLP). Their compact circuits contain just one and two Josephson …
of a multilayer perceptron (MLP). Their compact circuits contain just one and two Josephson …
A superconducting adiabatic neuron in a quantum regime
MV Bastrakova, DS Pashin, DA Rybin… - Beilstein Journal of …, 2022 - beilstein-journals.org
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 …
in a quantum regime. This mode of cell operation is assumed for a hybrid system of a …
Sub-nanosecond operations on superconducting quantum register based on Ramsey patterns
M Bastrakova, N Klenov, V Ruzhickiy… - Superconductor …, 2022 - iopscience.iop.org
An ultrafast qubit control concept is proposed and analyzed theoretically to reduce the
duration of operations with single and multiple superconducting qubits. It is based on the …
duration of operations with single and multiple superconducting qubits. It is based on the …
Learning cell for superconducting neural networks
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 …
chip learning of adiabatic superconducting artificial neural networks. The static and dynamic …
Superconducting bio-inspired Au-nanowire-based neurons
High-performance modeling of neurophysiological processes is an urgent task that requires
new approaches to information processing. In this context, two-and three-junction …
new approaches to information processing. In this context, two-and three-junction …
Josephson spin valve controlled by a superconducting trigger effect
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 …
for ferromagnet, and “I” is for insulator) is studied theoretically. It is found that by rotating the …
Phase controllable Josephson junctions for cryogenic memory
AE Madden, JC Willard, R Loloee… - … Science and Technology, 2018 - iopscience.iop.org
Josephson junctions containing ferromagnetic layers have generated interest for application
in cryogenic memory. In a junction containing both a magnetically hard fixed layer and soft …
in cryogenic memory. In a junction containing both a magnetically hard fixed layer and soft …
Soliton scattering as a measurement tool for weak signals
We have considered relativistic soliton dynamics governed by the sine-Gordon equation and
affected by short spatial inhomogeneities of the driving force and thermal noise. Developed …
affected by short spatial inhomogeneities of the driving force and thermal noise. Developed …