Results 21 to 30 of about 25,693 (251)
Fuzzy Logic on Quantum Annealers [PDF]
IEEE Transactions on Fuzzy Systems, 2022 Quantum computation is going to revolutionize the world of computing by enabling the design of massive parallel algorithms that solve hard problems in an efficient way, thanks to the exploitation of quantum mechanics effects, such as superposition, entanglement and interference.
Acampora G. +2 more
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IEEE Access, 2023 Simulated Quantum Annealing (SQA) is a heuristic algorithm which can solve Quadratic Unconstrained Binary Optimization (QUBO) problems by emulating the exploration of the solution space done by a quantum annealer.
Deborah Volpe +3 more
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The quantum annealing gap and quench dynamics in the exact cover problem [PDF]
Quantum, 2022 Quenching and annealing are extreme opposites in the time evolution of a quantum system: Annealing explores equilibrium phases of a Hamiltonian with slowly changing parameters and can be exploited as a tool for solving complex optimization problems.
Bernhard Irsigler, Tobias Grass
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Mean field approximation for solving QUBO problems.
PLoS ONE, 2022 The Quadratic Unconstrained Binary Optimization (QUBO) problem is NP-hard. Some exact methods like the Branch-and-Bound algorithm are suitable for small problems.
Máté Tibor Veszeli, Gábor Vattay
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An Overview of Approaches to Modernize Quantum Annealing Using Local Searches [PDF]
Electronic Proceedings in Theoretical Computer Science, 2016 I describe how real quantum annealers may be used to perform local (in state space) searches around specified states, rather than the global searches traditionally implemented in the quantum annealing algorithm.
Nicholas Chancellor
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An introduction to quantum annealing [PDF]
RAIRO - Theoretical Informatics and Applications, 2011 Quantum Annealing, or Quantum Stochastic Optimization, is a classical randomized algorithm which provides good heuristics for the solution of hard optimization problems. The algorithm, suggested by the behaviour of quantum systems, is an example of proficuous cross contamination between classical and quantum computer science.
D. de Falco, D. Tamascelli
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Approximate approximation on a quantum annealer [PDF]
Proceedings of the 17th ACM International Conference on Computing Frontiers, 2020 Many problems of industrial interest are NP-complete, and quickly exhaust resources of computational devices with increasing input sizes. Quantum annealers (QA) are physical devices that aim at this class of problems by exploiting quantum mechanical properties of nature.
Irmi Sax +5 more
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PLoS ONE, 2022 Quantum annealing has gained considerable attention because it can be applied to combinatorial optimization problems, which have numerous applications in logistics, scheduling, and finance.
Michiya Kuramata +2 more
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Learning quantum annealing [PDF]
Quantum Information and Computation, 2017 We propose and develop a new procedure, whereby a quantum system can learn to anneal to a desired ground state. We demonstrate successful learning to produce an entangled state for a two-qubit system, then demonstrate generalizability to larger systems. The amount of additional learning necessary decreases as the size of the system increases.
Behrman, Elizabeth C. +2 more
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Molecular dynamics on quantum annealers
Scientific Reports, 2022 AbstractIn this work we demonstrate a practical prospect of using quantum annealers for simulation of molecular dynamics. A methodology developed for this goal, dubbed Quantum Differential Equations (QDE), is applied to propagate classical trajectories for the vibration of the hydrogen molecule in several regimes: nearly harmonic, highly anharmonic ...
Gaidai, Igor +7 more
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