A Quantum Algorithm for Minimising the Effective Graph Resistance upon Edge Addition

Conference Paper (2019)
Author(s)

Finn de Ridder (Radboud Universiteit Nijmegen)

Niels Neumann (TNO)

Thijs Veugen (TNO, Centrum Wiskunde & Informatica (CWI))

Rob Kooij (TU Delft - Network Architectures and Services, Singapore University of Technology and Design)

Research Group
Network Architectures and Services
Copyright
© 2019 Finn de Ridder, Niels Neumann, Thijs Veugen, Robert Kooij
DOI related publication
https://doi.org/10.1007/978-3-030-14082-3_6
More Info
expand_more
Publication Year
2019
Language
English
Copyright
© 2019 Finn de Ridder, Niels Neumann, Thijs Veugen, Robert Kooij
Research Group
Network Architectures and Services
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
Pages (from-to)
63-73
ISBN (print)
978-3-030-14081-6
ISBN (electronic)
978-3-030-14082-3
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In this work, we consider the following problem: given a graph, the addition of which single edge minimises the effective graph resistance of the resulting (or, augmented) graph. A graph’s effective graph resistance is inversely proportional to its robustness, which means the graph augmentation problem is relevant to, in particular, applications involving the robustness and augmentation of complex networks. On a classical computer, the best known algorithm for a graph with N vertices has time complexity (Formula Presented). We show that it is possible to do better: Dürr and Høyer’s quantum algorithm solves the problem in time (Formula Presented). We conclude with a simulation of the algorithm and solve ten small instances of the graph augmentation problem on the Quantum Inspire quantum computing platform.

Files

Ridder2019_Chapter_AQuantumAlg... (pdf)
(pdf | 0.814 Mb)
- Embargo expired in 29-11-2021
License info not available