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arxiv: 0912.0583 · v1 · submitted 2009-12-03 · 🪐 quant-ph · cs.CC

Single query learning from abelian and non-abelian Hamming distance oracles

classification 🪐 quant-ph cs.CC
keywords hammingpermutationsprobabilityquerysuccessactionchoicedistance
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We study the problem of identifying an n-bit string using a single quantum query to an oracle that computes the Hamming distance between the query and hidden strings. The standard action of the oracle on a response register of dimension r is by powers of the cycle (1...r), all of which, of course, commute. We introduce a new model for the action of an oracle--by general permutations in S_r--and explore how the success probability depends on r and on the map from Hamming distances to permutations. In particular, we prove that when r = 2, for even n the success probability is 1 with the right choice of the map, while for odd n the success probability cannot be 1 for any choice. Furthermore, for small odd n and r = 3, we demonstrate numerically that the image of the optimal map generates a non-abelian group of permutations.

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