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

The structural properties of free nanoclusters are reviewed. Special attention is paid to the
interplay of energetic, thermodynamic, and kinetic factors in the explanation of cluster …

Quantum annealing is a computing paradigm that has the ambitious goal of efficiently
solving large-scale combinatorial optimization problems of practical importance. However …

It is essential to know the arrangement of the atoms in a material in order to compute and
understand its properties. Searching for stable structures of materials using first-principles …

Quantum annealing is a new method for finding extrema of multidimensional functions.
Based on an extension of classical, simulated annealing, this approach appears robust with …

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 …

Computation based on molecular models is playing an increasingly important role in
biology, biological chemistry, and biophysics. Since only a very limited number of properties …

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

A protein molecule is a covalent chain of amino acid residues. Although it is topologically
linear, in physiological conditions it folds into a unique (though flexible) three-dimensional …

We review here some recent work in the field of quantum annealing, alias adiabatic
quantum computation. The idea of quantum annealing is to perform optimization by a …