The power of quantum computing technologies is based on the fundamentals of quantum
mechanics, such as quantum superposition, quantum entanglement, or the no-cloning …

Neuromorphic computing based on brain-inspired frameworks has shown its potential to
perform computation with remarkable power and speed efficiency. The spintronic device has …

Quantum machine learning has emerged as an exciting and promising paradigm inside
quantum technologies. It may permit, on the one hand, to carry out more efficient machine …

Superconducting circuit technologies have recently achieved quantum protocols involving
closed feedback loops. Quantum artificial intelligence and quantum machine learning are …

The quantum autoencoder is a recent paradigm in the field of quantum machine learning,
which may enable an enhanced use of resources in quantum technologies. To this end …

Technology based on memristors, resistors with memory whose resistance depends on the
history of the crossing charges, has lately enhanced the classical paradigm of computation …

Memristors are resistive elements retaining information of their past dynamics. They have
garnered substantial interest due to their potential for representing a paradigm change in …

We review three different approaches to investigate the non-equilibrium stochastic dynamics
of a Josephson junction affected by Lévy-distributed current fluctuations. First, we study the …

This paper presents floating decremental and incremental meminductor emulators using
operational transconductance amplifiers (OTAs), a current differencing transconductance …

This article gives an overview and a perspective of recent theoretical proposals and their
experimental implementations in the field of quantum machine learning. Without an aim to …