6 research outputs found

    Rational approximations and quantum algorithms with postselection

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    We study the close connection between rational functions that approximate a given Boolean function, and quantum algorithms that compute the same function using postselection. We show that the minimal degree of the former equals (up to a factor of 2) the minimal query complexity of the latter. We give optimal (up to constant factors) quantum algorithms with postselection for the Majority function, slightly improving upon an earlier algorithm of Aaronson. Finally we show how Newman's classic theorem about low-degree rational approximation of the absolute-value function follows from these algorithms.Comment: v2: 12 pages LaTeX, to appear in Quantum Information and Computation. Compared to version 1, the writing has been improved but the results are unchange

    Algorithmic Polynomials

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    The approximate degree of a Boolean function f(x1,x2,…,xn)f(x_{1},x_{2},\ldots,x_{n}) is the minimum degree of a real polynomial that approximates ff pointwise within 1/31/3. Upper bounds on approximate degree have a variety of applications in learning theory, differential privacy, and algorithm design in general. Nearly all known upper bounds on approximate degree arise in an existential manner from bounds on quantum query complexity. We develop a first-principles, classical approach to the polynomial approximation of Boolean functions. We use it to give the first constructive upper bounds on the approximate degree of several fundamental problems: - O(n34βˆ’14(2kβˆ’1))O\bigl(n^{\frac{3}{4}-\frac{1}{4(2^{k}-1)}}\bigr) for the kk-element distinctness problem; - O(n1βˆ’1k+1)O(n^{1-\frac{1}{k+1}}) for the kk-subset sum problem; - O(n1βˆ’1k+1)O(n^{1-\frac{1}{k+1}}) for any kk-DNF or kk-CNF formula; - O(n3/4)O(n^{3/4}) for the surjectivity problem. In all cases, we obtain explicit, closed-form approximating polynomials that are unrelated to the quantum arguments from previous work. Our first three results match the bounds from quantum query complexity. Our fourth result improves polynomially on the Θ(n)\Theta(n) quantum query complexity of the problem and refutes the conjecture by several experts that surjectivity has approximate degree Ξ©(n)\Omega(n). In particular, we exhibit the first natural problem with a polynomial gap between approximate degree and quantum query complexity

    Uniform approximation by (quantum) polynomials

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