A Quantum Algorithm for a Problem of Statistical Distance
Abstract
In the Statistical Distance to Uniform Distribution (SDU) problem, the aim is to compare a probability distribution over all n-bit strings with the uniform distribution. In this paper, we deal with the restriction of SDU in which the probabilities of the 2^n/2 first strings (under the usual lexicographic ordering) are never smaller than the 2^n/2 last strings. We prove that this restriction admits a polynomial-time quantum algorithm.
Keywords:
Statistical Distance to Uniform Distribution, quantum algorithm, BQP
References
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Kobayashi, H. (2003). Non-interactive quantum perfect and statistical zero-knowledge. In International Symposium on Algorithms and Computation, pages 178–188.
Montanaro, A. and de Wolf, R. (2016). A survey of quantum property testing. Theory Comput., (7):1–81.
Nielsen, M. A. and Chuang, I. L. (2011). Quantum Computation and Quantum Information: 10th Anniversary Edition. Cambridge University Press, 10th edition.
Watrous, J. (2002). Limits on the power of quantum statistical zero-knowledge. In The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings., pages 459–468. IEEE.
Kobayashi, H. (2003). Non-interactive quantum perfect and statistical zero-knowledge. In International Symposium on Algorithms and Computation, pages 178–188.
Montanaro, A. and de Wolf, R. (2016). A survey of quantum property testing. Theory Comput., (7):1–81.
Nielsen, M. A. and Chuang, I. L. (2011). Quantum Computation and Quantum Information: 10th Anniversary Edition. Cambridge University Press, 10th edition.
Watrous, J. (2002). Limits on the power of quantum statistical zero-knowledge. In The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings., pages 459–468. IEEE.
Published
2021-07-18
How to Cite
HEPP, Henrique; SILVA, Murilo V. G. da; ZATESKO, Leandro M..
A Quantum Algorithm for a Problem of Statistical Distance. In: PROCEEDINGS OF THE THEORY OF COMPUTATION MEETING (ETC), 6. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 1-4.
ISSN 2595-6116.
DOI: https://doi.org/10.5753/etc.2021.16366.
