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 the introductory article of this theme issue, we provide an overview of quantum annealing
and computation with a very brief summary of the individual contributions to this issue made …

Hybrid quantum-classical algorithms are central to much of the current research in quantum
computing, particularly when considering the noisy intermediate-scale quantum (NISQ) era …

Quantum annealing machines are next-generation computers for solving combinatorial
optimization problems. Although physical simulations are one of the most promising …

In the last decade, public and industrial research funding has moved quantum computing
from the early promises of Shor's algorithm through experiments to the era of noisy …

QUBO is the input language of quantum computers based on quantum annealing such as
the D-Wave systems and of the" quantum-inspired" dedicated hardware such as Fujitsu's …

Molecular docking is an important step of the drug discovery process which aims at
calculating the preferred position and shape of one molecule to a second when they are …

We review encoding and hardware-independent formulations of optimization problems for
quantum computing. Using this generalized approach, an extensive library of optimization …

The Ising model is defined by an objective function using a quadratic formula of qubit
variables. The problem of an Ising model aims to determine the qubit values of the variables …

Challenging combinatorial optimization problems are ubiquitous in science and
engineering. Several quantum methods for optimization have recently been developed, in …