Recent developments in quantum annealing techniques have been indicating potential advantage of quantum annealing for solving NP-hard optimization problems. In this article we briefly indicate and discuss the beneficial features of quantum annealing techniques and compare them with those of simulated annealing techniques. We then briefly discuss the quantum annealing studies of some model spin glass and kinetically constrained systems
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
Quantum annealing is a heuristic quantum optimization algorithm that can be used to solve combinator...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
Quantum annealing is a new-generation tool of information technology, which helps in solving combina...
"Quantum annealing employs quantum fluctuations in frustrated systems or networks to anneal the syst...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We briefly review various computational methods for the solution of optimization problems. First, se...
The recent success in quantum annealing, i.e., optimization of the cost or energy functions of compl...
Abstract. We briefly review various computational methods for the solution of optimization problems....
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinato...
Quantum annealing is analogous to simulated annealing with a tunneling mechanism substituting for th...
We investigate the basic behavior and performance of simulated quantum annealing (QA) in comparison ...
Quantum annealing is a quantum version of classical simulated annealing, but using quantum fluctuati...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
Quantum annealing is a heuristic quantum optimization algorithm that can be used to solve combinator...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...
Quantum annealing is a new-generation tool of information technology, which helps in solving combina...
"Quantum annealing employs quantum fluctuations in frustrated systems or networks to anneal the syst...
The path integral Monte Carlo simulated quantum annealing algorithm is applied to the optimization o...
We review here some recent work in the field of quantum annealing, alias adiabatic quantum computati...
Quantum annealing, or quantum stochastic optimization, is a classical randomized algorithm which pro...
We briefly review various computational methods for the solution of optimization problems. First, se...
The recent success in quantum annealing, i.e., optimization of the cost or energy functions of compl...
Abstract. We briefly review various computational methods for the solution of optimization problems....
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinato...
Quantum annealing is analogous to simulated annealing with a tunneling mechanism substituting for th...
We investigate the basic behavior and performance of simulated quantum annealing (QA) in comparison ...
Quantum annealing is a quantum version of classical simulated annealing, but using quantum fluctuati...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
Quantum annealing is a heuristic quantum optimization algorithm that can be used to solve combinator...
In recent years, quantum annealing has gained the status of being a promising candidate for solving ...