Quantum query complexity of constant-sized subgraph containment. (English) Zbl 1281.68113
Summary: We study the quantum query complexity of constant-sized subgraph containment. Such problems include determining whether a \(n\)-vertex graph contains a triangle, clique or star of some size. For a general subgraph \(H\) with \(k\) vertices, we show that \(H\) containment can be solved with quantum query complexity \(O(n^{2-\frac{2}{k}-g(H)})\), with \(g(H)\) a strictly positive function of \(H\). This is better than \(\widetilde O(n^{2-2/k})\) by Magniez et al. This result is obtained in the learning graph model of Belovs.
MSC:
68Q12 | Quantum algorithms and complexity in the theory of computing |
68Q25 | Analysis of algorithms and problem complexity |
05C60 | Isomorphism problems in graph theory (reconstruction conjecture, etc.) and homomorphisms (subgraph embedding, etc.) |
References:
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