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- W2913329048 abstract "We present a quantum algorithm for combinatorial optimization using the cost structure of the search states. Its behavior is illustrated for overconstrained satisfiability (SAT) and asymmetric traveling salesman problems (ATSP). Simulations with randomly generated problem instances show each step of the algorithm shifts amplitude preferentially towards lower cost states, thereby concentrating amplitudes into low-cost states, on average. These results are compared with conventional heuristics for these problems." @default.
- W2913329048 created "2019-02-21" @default.
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- W2913329048 title "Quantum optimization" @default.
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- W2913329048 doi "https://doi.org/10.1016/s0020-0255(00)00052-9" @default.
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