We construct an Ising Hamiltonian with an engineered energy landscape such that it has a local energy minimum which is near the true global minimum solution and further away from a false minimum. Using a technique established in previous experiments, we design our experiment such that (at least on timescales relevant to our study) the false minimum is reached preferentially in forward annealing due to high levels of quantum fluctuations. This allows us to demonstrate the key principle of reverse annealing, that the solution space can be searched locally, preferentially finding nearby solutions, even in the presence of a false minimum. The techniques used here are distinct from previously used experimental techniques and allow us to probe th...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
I describe how real quantum annealers may be used to perform local (in state space) searches around ...
We perform an in-depth comparison of quantum annealing with several classical optimisation technique...
The debate around the potential superiority of quantum annealers over their classical counterparts h...
The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing...
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role...
We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Un...
Quantum annealing is a search algorithm that can find an overall optimal solution to a problem by le...
There are well-developed theoretical tools to analyze how quantum dynamics can solve computational p...
Recent advances in quantum technology have led to the development and manufacturing of experimental ...
Quantum annealing (QA) is a metaheuristic specialized for solving optimization problems which uses p...
Recent advances in quantum technology have led to the development and manufacturing of experimental ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
I describe how real quantum annealers may be used to perform local (in state space) searches around ...
We perform an in-depth comparison of quantum annealing with several classical optimisation technique...
The debate around the potential superiority of quantum annealers over their classical counterparts h...
The observation of an unequivocal quantum speedup remains an elusive objective for quantum computing...
We introduce and review briefly the phenomenon of quantum annealing and analog computation. The role...
We show how to leverage quantum annealers (QAs) to better select candidates in greedy algorithms. Un...
Quantum annealing is a search algorithm that can find an overall optimal solution to a problem by le...
There are well-developed theoretical tools to analyze how quantum dynamics can solve computational p...
Recent advances in quantum technology have led to the development and manufacturing of experimental ...
Quantum annealing (QA) is a metaheuristic specialized for solving optimization problems which uses p...
Recent advances in quantum technology have led to the development and manufacturing of experimental ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...
International audienceWe are interested in Quantum Annealing (QA), an algorithm inspired by quantum ...