This paper reviews the recent theoretical and experimental advances in the study of ultra-
cold gases made of bosonic particles interacting via the long-range, anisotropic dipole …

Among various algorithms designed to exploit the specific properties of quantum computers
with respect to classical ones, the quantum adiabatic algorithm is a versatile proposition to …

Quantum computers, though not yet available on the market, will revolutionize the future of
information processing. Quantum computers for special purposes like quantum simulators …

Monte Carlo simulation is an unbiased numerical tool for studying classical and quantum
many-body systems. One of its bottlenecks is the lack of a general and efficient update …

The dynamics of an ultracold dilute gas of bosonic atoms in an optical lattice can be
described by a Bose-Hubbard model where the system parameters are controlled by laser …

Quantum gases in optical lattices offer an opportunity to experimentally realize and explore
condensed matter models in a clean, tunable system. We used single atom–single lattice …

We review recent developments in the physics of ultracold atomic and molecular gases in
optical lattices. Such systems are nearly perfect realisations of various kinds of Hubbard …

In this paper, we demonstrate the expressibility of artificial neural networks (ANNs) in
quantum many-body physics by showing that a feed-forward neural network with a small …

Electron-lattice interactions play a prominent role in quantum materials, making a deeper
understanding of direct routes to phonon-mediated high-transition-temperature (T c) …

We introduce the concept of directed loops in stochastic series expansion and path-integral
quantum Monte Carlo methods. Using the detailed balance rules for directed loops, we …