Quantum Query Complexity of Subgraph Isomorphism and Homomorphism

Abstract

Let H be a fixed graph on n vertices. Let fH(G) = 1 iff the input graph G on n vertices contains H as a (not necessarily induced) subgraph. Let αH denote the cardinality of a maximum independent set of H. In this paper we show: \[Q(fH) = (αH · n),\] where Q(fH) denotes the quantum query complexity of fH. As a consequence we obtain a lower bounds for Q(fH) in terms of several other parameters of H such as the average degree, minimum vertex cover, chromatic number, and the critical probability. We also use the above bound to show that Q(fH) = (n3/4) for any H, improving on the previously best known bound of (n2/3). Until very recently, it was believed that the quantum query complexity is at least square root of the randomized one. Our (n3/4) bound for Q(fH) matches the square root of the current best known bound for the randomized query complexity of fH, which is (n3/2) due to Gr\"oger. Interestingly, the randomized bound of (αH · n) for fH still remains open. We also study the Subgraph Homomorphism Problem, denoted by f[H], and show that Q(f[H]) = (n). Finally we extend our results to the 3-uniform hypergraphs. In particular, we show an (n4/5) bound for quantum query complexity of the Subgraph Isomorphism, improving on the previously known (n3/4) bound. For the Subgraph Homomorphism, we obtain an (n3/2) bound for the same.

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