The competition between superconducting and ferromagnetic orders in magnetic Josephson Junctions (JJs) has paved the way for advances in superconducting digital technology, cryogenic memories, and potentially for quantum computing, where the possibility of switching between different critical currents states by means of magnetic pulses is a crucial advantage. We have shown that our approach to...
The technological and scientific advancements over the last decade in the Quantum Computing field have seen the outbreak of several qubit layouts whose goal has been to enhance their performances [1,2]. In this context, our work focuses on the development of a new Qu-bit prototype that goes beyond conventional transmon architecture where a resonator is capacitively coupled with a SQUID loop...
Quantum key distribution (QKD) renders long-term solution for information-theoretic secure communication by exploiting basic laws of quantum physics. However, hardware imperfections limit unconditional security in QKD, for instance the presence of pulses containing multiple photons in BB84 protocol. Weak coherent pulses, defects in diamonds and quantum dots bases QKD is already under...
Entanglement represents ``the'' key resource for several applications of quantum information processing, ranging from quantum communications to distributed quantum computing. Despite its fundamental importance, deterministic generation of maximally entangled qubits represents an on-going open problem. Here, we design a novel generation scheme exhibiting two attractive features, namely, i)...
Quantum computers can be a revolutionary tool to implement inference engines for fuzzy rule-based systems. In fact, the use of quantum mechanical principles can enable parallel execution of fuzzy rules and allow them to be used efficiently in complex contexts such as distributed and big data environments. Our research introduces the very first quantum-based fuzzy inference engine that is...
Machine-learned regression models represent a promising tool to implement accurate and compu-
tationally affordable energy-density functionals to solve quantum many-body problems via density
functional theory. However, in continuous systems, while they can easily be trained to accurately map ground-state density
profiles to the corresponding energies, their functional derivatives often turn...
We study the dissipative stabilisation of entangled states in arrays of quantum systems. Specifically, we are interested in the states of qubits (spins-1/2) which may or may not interact with one or more cavities (bosonic modes). In all cases only one element, either a cavity or a qubit, is lossy and irreversibly coupled to a reservoir. When the lossy element is a cavity, we consider a...