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

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 …

We present the first experimental realization of a quantum artificial life algorithm in a
quantum computer. The quantum biomimetic protocol encodes tailored quantum behaviors …

Pricing interest-rate financial derivatives is a major problem in finance, in which it is crucial
to accurately reproduce the time evolution of interest rates. Several stochastic dynamics …

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 …

Rapid developments in quantum information processing have been made, and remarkable
achievements have been obtained in recent years, both in theory and experiments …

We propose genetic algorithms, which are robust optimization techniques inspired by
natural selection, to enhance the versatility of digital quantum simulations. In this sense, we …

We propose a method to build quantum memristors in quantum photonic platforms. We first
design an effective beam splitter, which is tunable in real time, by means of a Mach-Zehnder …

Classical information loading is an essential task for many processing quantum algorithms,
constituting a cornerstone in the field of quantum machine learning. In particular, the …