Memristive technology has been rapidly emerging as a potential alternative to traditional
CMOS technology, which is facing fundamental limitations in its development. Since oxide …

Memristors, also known as artificial synapses, are devices that are able to mimic the memory
functions of biological synapses. To emulate synaptic functions, memristors need to exhibit …

The traditional Von Neumann computing architecture, which necessitates data transfer
between external memory and the processor, incurs significant energy and time costs when …

Josephson junctions (JJs) are superconductor-based devices used to build highly sensitive
magnetic flux sensors called superconducting quantum interference devices (SQUIDs) …

Cryogenic memristor-based DC sources offer a promising avenue for in situ biasing of
quantum dot arrays. In this study, we present experimental results and discuss the scaling …

Artificial neural networks, as a game-changer to break up the bottleneck of classical von
Neumann architectures, have attracted great interest recently. As a unit of artificial neural …

This study focuses on InGaZnO-based synaptic devices fabricated using reactive
radiofrequency sputtering deposition with highly uniform and reliable multilevel memory …

Neural decoders for quantum error correction (QEC) rely on neural networks to classify
syndromes extracted from error correction codes and find appropriate recovery operators to …

Multibit/analog artificial synapses are in demand for neuromorphic computing systems. A
problem hindering the utilization of memristive artificial synapses in commercial …

We fabricated memristive devices using focused electron beam-induced deposition (FEBID)
as a direct-writing technique employing a Pt/TiO2/Pt sandwich layer device configuration …