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Quantum lower bounds for tripartite versions of the hidden shift and the set equality problems

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Abstract

In this paper, we study quantum query complexity of the following rather natural tripartite generalisations (in the spirit of the 3-sum problem) of the hidden shift and the set equality problems, which we call the 3-shift-sum and the 3-matching-sum problems. The 3-shift-sum problem is as follows: given a table of 3×n elements, is it possible to circularly shift its rows so that the sum of the elements in each column becomes zero? It is promised that, if this is not the case, then no 3 elements in the table sum up to zero. The 3-matching-sum problem is defined similarly, but it is allowed to arbitrarily permute elements within each row. For these problems, we prove lower bounds of Ω(n1/3) and Ω(n), respectively. The second lower bound is tight. The lower bounds are proven by a novel application of the dual learning graph framework and by using representation-theoretic tools from [7].

Original languageEnglish
Title of host publication13th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2018
EditorsStacey Jeffery
PublisherSchloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
Pages3:1-3:15
ISBN (Electronic)9783959770804
DOIs
Publication statusPublished - 1 Jul 2018
Event13th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2018 - Sydney, Australia
Duration: 16 Jul 201818 Jul 2018

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume111
ISSN (Print)1868-8969

Conference

Conference13th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2018
Country/TerritoryAustralia
CitySydney
Period16/07/1818/07/18

Keywords

  • Adversary Bound
  • Dual Learning Graphs
  • Quantum Query Complexity
  • Representation Theory

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