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 …

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 …

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

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

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

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 …

An online advertisement optimization, which can be represented by a combinatorial
optimization problem is performed using D-Wave 2000Q, a quantum annealing machine. To …

This work focuses on expressing the TSP with Time Windows (TSPTW for short) as a
quadratic unconstrained binary optimization (QUBO) problem. The time windows impose …

Can quantum computers solve optimization problems much more quickly than classical
computers? One major piece of evidence for this proposition has been the fact that Quantum …