7 research outputs found

    On the black-box complexity of Sperner's Lemma

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    We present several results on the complexity of various forms of Sperner's Lemma in the black-box model of computing. We give a deterministic algorithm for Sperner problems over pseudo-manifolds of arbitrary dimension. The query complexity of our algorithm is linear in the separation number of the skeleton graph of the manifold and the size of its boundary. As a corollary we get an O(n)O(\sqrt{n}) deterministic query algorithm for the black-box version of the problem {\bf 2D-SPERNER}, a well studied member of Papadimitriou's complexity class PPAD. This upper bound matches the Ω(n)\Omega(\sqrt{n}) deterministic lower bound of Crescenzi and Silvestri. The tightness of this bound was not known before. In another result we prove for the same problem an Ω(n4)\Omega(\sqrt[4]{n}) lower bound for its probabilistic, and an Ω(n8)\Omega(\sqrt[8]{n}) lower bound for its quantum query complexity, showing that all these measures are polynomially related.Comment: 16 pages with 1 figur

    Lower Bounds on Quantum Query Complexity

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    Shor's and Grover's famous quantum algorithms for factoring and searching show that quantum computers can solve certain computational problems significantly faster than any classical computer. We discuss here what quantum computers_cannot_ do, and specifically how to prove limits on their computational power. We cover the main known techniques for proving lower bounds, and exemplify and compare the methods.Comment: survey, 23 page

    Quantum and classical query complexities of local search are polynomially related

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    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] and Aaronson [1] and solves the main open problem in [1].
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