From Bit-Parallelism to Quantum String Matching for Labelled Graphs

Authors Massimo Equi , Arianne Meijer-van de Griend , Veli Mäkinen



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Author Details

Massimo Equi
  • Department of Computer Science, University of Helsinki, Finland
Arianne Meijer-van de Griend
  • Department of Computer Science, University of Helsinki, Finland
Veli Mäkinen
  • Department of Computer Science, University of Helsinki, Finland

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Massimo Equi, Arianne Meijer-van de Griend, and Veli Mäkinen. From Bit-Parallelism to Quantum String Matching for Labelled Graphs. In 34th Annual Symposium on Combinatorial Pattern Matching (CPM 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 259, pp. 9:1-9:20, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023) https://doi.org/10.4230/LIPIcs.CPM.2023.9

Abstract

Many problems that can be solved in quadratic time have bit-parallel speed-ups with factor w, where w is the computer word size. A classic example is computing the edit distance of two strings of length n, which can be solved in O(n²/w) time. In a reasonable classical model of computation, one can assume w = Θ(log n), and obtaining significantly better speed-ups is unlikely in the light of conditional lower bounds obtained for such problems.
In this paper, we study the connection of bit-parallelism to quantum computation, aiming to see if a bit-parallel algorithm could be converted to a quantum algorithm with better than logarithmic speed-up. We focus on string matching in labeled graphs, the problem of finding an exact occurrence of a string as the label of a path in a graph. This problem admits a quadratic conditional lower bound under a very restricted class of graphs (Equi et al. ICALP 2019), stating that no algorithm in the classical model of computation can solve the problem in time O(|P||E|^(1-ε)) or O(|P|^(1-ε)|E|). We show that a simple bit-parallel algorithm on such restricted family of graphs (level DAGs) can indeed be converted into a realistic quantum algorithm that attains subquadratic time complexity O(|E|√|P|).

Subject Classification

ACM Subject Classification
  • Theory of computation → Quantum computation theory
  • Theory of computation → Parallel algorithms
  • Theory of computation → Pattern matching
  • Theory of computation → Graph algorithms analysis
Keywords
  • Bit-parallelism
  • quantum computation
  • string matching
  • level DAGs

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References

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