Develo** the field of neuromorphic quantum computing necessitates designing scalable
quantum memory devices. Here, we propose a superconducting quantum memory device in …

Memristive systems exhibit dynamics that depend on their past states, making them useful
as memory units. Recently, quantum memristor models have been proposed, and notably, a …

Abstract Machine learning (ML) methods are proposed to characterize the memristive
properties of single and coupled quantum memristors. It is shown that maximizing the …

Quantum machine learning may permit to realize more efficient machine learning
calculations with near-term quantum devices. Among the diverse quantum machine learning …

We propose a design of a superconducting quantum memristive device in the microwave
regime, that is, a microwave quantum memristor. It comprises two linked resonators, where …

In the noisy intermediate-scale quantum technological setting, the computational steps in a
quantum computer are realized via unitary gates. Gate-model quantum computer …

Entanglement, rooted in the non-deterministic, non-local nature of quantum mechanics,
serves as a fundamental correlation. High-energy particle colliders offer a unique platform …