,
Simon Apers
,
Min-Hsiu Hsieh
Creative Commons Attribution 4.0 International license
This study examines clusterability testing for a signed graph in the bounded-degree model. Our contributions are two-fold. First, we provide a quantum algorithm with query complexity Õ(N^{1/3}) for testing clusterability, which yields a polynomial speedup over the best classical clusterability tester known [Adriaens and Apers, 2023]. Second, we prove an Ω̃(√N) classical query lower bound for testing clusterability, which nearly matches the upper bound from [Adriaens and Apers, 2023]. This settles the classical query complexity of clusterability testing, and it shows that our quantum algorithm has an advantage over any classical algorithm.
@InProceedings{chen_et_al:LIPIcs.TQC.2024.8,
author = {Chen, Kuo-Chin and Apers, Simon and Hsieh, Min-Hsiu},
title = {{(Quantum) Complexity of Testing Signed Graph Clusterability}},
booktitle = {19th Conference on the Theory of Quantum Computation, Communication and Cryptography (TQC 2024)},
pages = {8:1--8:16},
series = {Leibniz International Proceedings in Informatics (LIPIcs)},
ISBN = {978-3-95977-328-7},
ISSN = {1868-8969},
year = {2024},
volume = {310},
editor = {Magniez, Fr\'{e}d\'{e}ric and Grilo, Alex Bredariol},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.TQC.2024.8},
URN = {urn:nbn:de:0030-drops-206786},
doi = {10.4230/LIPIcs.TQC.2024.8},
annote = {Keywords: Quantum Algorithm, classical Query lower Bound, Graph Property testing}
}