Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

In this review, after providing the basic physical concept behind quantum annealing (or
adiabatic quantum computation), we present an overview of some recent theoretical as well …

Quantum volume (QV) has become the de-facto standard benchmark to quantify the
capability of noisy intermediate-scale quantum (NISQ) devices. While QV values are often …

Laser-cooled and trapped atomic ions form an ideal standard for the simulation of interacting
quantum spin models. Effective spins are represented by appropriate internal energy levels …

Quantum annealing is a general strategy for solving difficult optimization problems with the
aid of quantum adiabatic evolution. Both analytical and numerical evidence suggests that …

Quantum annealing (QA) and Quantum Alternating Operator Ansatz (QAOA) are both
heuristic quantum algorithms intended for sampling optimal solutions of combinatorial …

Many NP-hard problems can be seen as the task of finding a ground state of a disordered
highly connected Ising spin glass. If solutions are sought by means of quantum annealing, it …

Quantum annealing is a heuristic algorithm for solving combinatorial optimization problems,
and hardware for implementing this algorithm has been developed by D-Wave Systems Inc …

Recent advances in quantum computers are demonstrating the ability to solve problems at a
scale beyond brute force classical simulation. As such, a widespread interest in quantum …

Many important challenges in science and technology can be cast as optimization problems.
When viewed in a statistical physics framework, these can be tackled by simulated …