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} }
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