Ultracold atoms, molecules and ions provide a unique playground to explore chemistry at
ultracold temperatures. In this Review, we discuss what makes these systems particularly …

Quantum Computing (QC) claims to improve the efficiency of solving complex problems,
compared to classical computing. When QC is integrated with Machine Learning (ML), it …

Classical simulation of quantum dynamics plays an important role in our understanding of
quantum complexity, and in the development of quantum technologies. Compared to other …

The floating phase, a critical incommensurate phase, has been theoretically predicted as a
potential intermediate phase between crystalline ordered and disordered phases. In this …

The neutral atom array has gained prominence in quantum computing for its scalability and
operation fidelity. Previous works focus on fixed atom arrays (FAAs) that require extensive …

We study experimentally and numerically the noisy evolution of multipartite entangled states,
focusing on superconducting qubit devices accessible via the cloud. We find that a valid …

Metastable states of quantum many-body systems with confinement offer a means to
simulate false vacuum phenomenology, including nonequilibrium dynamical processes like …

Quantum batteries are predicted to have the potential to outperform their classical
counterparts and are therefore an important element in the development of quantum …

Metastable states arise in a range of quantum systems and can be observed in various
dynamical scenarios, including decay, bubble nucleation, and long-lived oscillations. The …

Combinatorial optimization is a challenging problem applicable in a wide range of fields
from logistics to finance. Recently, quantum computing has been used to attempt to solve …