Quantum Lower Bound for Recursive Fourier Sampling

dc.creatorAaronson, Scott
dc.date2002-09-09
dc.date2004-12-18
dc.date.accessioned2026-07-07T06:04:55Z
dc.date.available2026-07-07T06:04:55Z
dc.descriptionOne of the earliest quantum algorithms was discovered by Bernstein and Vazirani, for a problem called Recursive Fourier Sampling. This paper shows that the Bernstein-Vazirani algorithm is not far from optimal. The moral is that the need to "uncompute" garbage can impose a fundamental limit on efficient quantum computation. The proof introduces a new parameter of Boolean functions called the "nonparity coefficient," which might be of independent interest.
dc.description8 pages. Revised since appearing in QIC, both to correct an error in the definition of the nonparity coefficient and to emphasize the need to uncompute
dc.identifierhttps://arxiv.org/abs/quant-ph/0209060
dc.identifierhttp://arxiv.org/abs/quant-ph/0209060
dc.identifierQuantum Information and Computation 3(2):165-174, 2003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/90483
dc.subjectQuantum Physics
dc.subjectComputational Complexity
dc.titleQuantum Lower Bound for Recursive Fourier Sampling
dc.typetext

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