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- W3037195655 abstract "I propose a quantum annealing heuristic for the problem of combinatorial search among a frustrated set of states characterized by a cost function to be minimized. The algorithm is probabilistic, with postselection of the measurement result. A unique parameter playing the role of an effective temperature governs the computational load and the overall quality of the optimization. Any level of accuracy can be reached with a computational load independent of the dimension {it N} of the search set by choosing the effective temperature correspondingly low. This is much better than classical search heuristics, which typically involve computation times growing as powers of log({it N})" @default.
- W3037195655 created "2020-07-02" @default.
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- W3037195655 date "2001-07-16" @default.
- W3037195655 modified "2023-09-24" @default.
- W3037195655 title "Quantum Optimization" @default.
- W3037195655 hasPublicationYear "2001" @default.
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