In this short review article, we aim to provide physicists not working within the quantum
computing community a hopefully easy-to-read introduction to the state of the art in the field …

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 technology is maturing to the point where quantum devices, such as quantum
communication systems, quantum random number generators and quantum simulators may …

Adiabatic quantum computing (AQC) started as an approach to solving optimization
problems and has evolved into an important universal alternative to the standard circuit …

We have developed a framework to convert an arbitrary integer factorization problem to an
executable Ising model by first writing it as an optimization function then transforming the k …

Lattice protein folding models are a cornerstone of computational biophysics. Although
these models are a coarse grained representation, they provide useful insight into the …

The recent success in quantum annealing, ie, optimization of the cost or energy functions of
complex systems utilizing quantum fluctuations is reviewed here. The concept is introduced …

Modeling of heterogeneous materials and media is a problem of fundamental importance to
a wide variety of phenomena with applications to many disciplines, ranging from condensed …

We solve a multi-period portfolio optimization problem using D-Wave Systems' quantum
annealer. We derive a formulation of the problem, discuss several possible integer encoding …

Quantum annealers use quantum fluctuations to escape local minima and find low-energy
configurations of a physical system. Strong evidence for superiority of quantum annealing …