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Quantum pattern matching fast on averageAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact William Matthews. The d-dimensional pattern matching problem is to find an occurrence of a pattern of length m...m within a text of length n...n. This task models various problems in text and image processing, among other application areas. In this talk I will describe a quantum algorithm which achieves a super-polynomial speedup over any classical algorithm for the pattern matching problem, on average-case inputs. That is, for most input patterns and texts, the algorithm is super-polynomially faster than the best possible classical algorithm. The algorithm is based on a quantum subroutine which is a variant of algorithms proposed by Kuperberg for the dihedral hidden subgroup problem. This talk is part of the CQIF Seminar series. This talk is included in these lists:
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