Quantum and classical query complexities of local search are polynomially related

  • Authors:
  • Miklos Santha;Mario Szegedy

  • Affiliations:
  • Université Paris--Sud, Orsay, France;Rutgers University, Piscataway, NJ

  • Venue:
  • STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
  • Year:
  • 2004

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Abstract

Let f be an integer valued function on a finite set V. We call an undirected graph G(V,E) a neighborhood structure for f. The problem of finding a local minimum for f can be phrased as: for a fixed neighborhood structure G(V,E) find a vertex x ∈ V such that f(x) is not bigger than any value that f takes on some neighbor of x. The complexity of the algorithm is measured by the number of questions of the form "what is the value of f on x?" We show that the deterministic, randomized and quantum query complexities of the problem are polynomially related. This generalizes earlier results of Aldous[4] Ald and Aaronson [1] Aar and solves the main open problem in Aar.