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Quantum Optimization Quantum Simulation

Quantum Algorithm for Triangle Finding in Sparse Graphs

arXiv
Authors: François Le Gall, Shogo Nakajima

Year

2015

Paper ID

27958

Status

Preprint

Abstract Read

~2 min

Abstract Words

96

Citations

N/A

Abstract

This paper presents a quantum algorithm for triangle finding over sparse graphs that improves over the previous best quantum algorithm for this task by Buhrman et al. [SIAM Journal on Computing, 2005]. Our algorithm is based on the recent O\(n5/4\)-query algorithm given by Le Gall [FOCS 2014] for triangle finding over dense graphs (here n denotes the number of vertices in the graph). We show in particular that triangle finding can be solved with O\(n5/4-ε\) queries for some constant ε>0 whenever the graph has at most O\(n2-c\) edges for some constant c>0.

Why This Paper Matters

  • This paper contributes to the Quantum Simulation research area in the Quantum Articles archive.
  • It adds a 2015 reference point for readers tracking recent quantum research.
  • This paper presents a quantum algorithm for triangle finding over sparse graphs that improves over the previous best quantum algorithm for this task by Buhrman et al.

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