Abstract
An alternative quantum algorithm for combinatorial search, adjusting amplitudes based on number of conflicts in search states, performs well, on average, for hard random satisfiability problems near a phase transition in search difficulty. The algorithm exploits correlations among problem properties more effectively than some current heuristics, and improves on prior quantum algorithms that ignore these correlations.

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