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Quantum algorithms for computational geometry problems

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8 Citations (Scopus)

Abstract

We study quantum algorithms for problems in computational geometry, such as Point-On-3-Lines problem. In this problem, we are given a set of lines and we are asked to find a point that lies on at least 3 of these lines. Point-On-3-Lines and many other computational geometry problems are known to be 3Sum-Hard. That is, solving them classically requires time ?(n2-o(1)), unless there is faster algorithm for the well known 3Sum problem (in which we are given a set S of n integers and have to determine if there are a, b, c ? S such that a + b + c = 0). Quantumly, 3Sum can be solved in time O(n log n) using Grover’s quantum search algorithm. This leads to a question: can we solve Point-On-3-Lines and other 3Sum-Hard problems in O(nc) time quantumly, for c < 2? We answer this question affirmatively, by constructing a quantum algorithm that solves Point-On-3-Lines in time O(n1+o(1)). The algorithm combines recursive use of amplitude amplification with geometrical ideas. We show that the same ideas give O(n1+o(1)) time algorithm for many 3Sum-Hard geometrical problems.

Original languageEnglish
Title of host publication15th Conference on the Theory of Quantum Computation, Communication and Cryptography, TQC 2020
Place of PublicationWadern
PublisherSchloss Dagstuhl - Leibniz-Zentrum für Informatik GmbH
Volume158
ISBN (Electronic)9783959771467
ISBN (Print)978-395977146-7, 9783959771467
DOIs
Publication statusPublished - 1 Jun 2020

Publication series

NameLeibniz International Proceedings in Informatics, LIPIcs
Volume158
ISSN (Print)1868-8969

Keywords

  • 3Sum problem
  • Amplitude amplification
  • Computational geometry
  • Quantum algorithms
  • Quantum search

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