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• W4384560210 abstract "Abstract The efficient resolution of optimization problems is one of the key issues in today’s industry. This task relies mainly on classical algorithms that present scalability problems and processing limitations. Quantum computing has emerged to challenge these types of problems. In this paper, we focus on the Metropolis-Hastings quantum algorithm, which is based on quantum walks. We use this algorithm to build a quantum software tool called Quantum Metropolis Solver (QMS). We validate QMS with the N-Queen problem to show a potential quantum advantage in an example that can be easily extrapolated to an Artificial Intelligence domain. We carry out different simulations to validate the performance of QMS and its configuration." @default.
• W4384560210 created "2023-07-18" @default.
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• W4384560210 date "2023-07-17" @default.
• W4384560210 modified "2023-10-11" @default.
• W4384560210 title "Quantum Metropolis Solver: a quantum walks approach to optimization problems" @default.
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• W4384560210 doi "https://doi.org/10.1007/s42484-023-00119-y" @default.
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