Polynomials, Quantum Query Complexity, and Grothendieck's Inequality

TL;DR

This paper establishes a fundamental equivalence between 1-query quantum algorithms and degree-2 polynomial approximations, explores limitations for higher degrees, and solves an open problem on polynomial estimation complexity.

Contribution

It proves the equivalence between 1-query quantum algorithms and degree-2 polynomials under two approximation notions, and clarifies the relationship between polynomial degree and quantum query complexity.

Findings

1-query quantum algorithms correspond to degree-2 polynomial approximations.

A total Boolean function requires many quantum queries but can be approximated by low-degree polynomials.

For constant degree k, standard and block-multilinear polynomial approximations are equivalent.

Abstract

We show an equivalence between 1-query quantum algorithms and representations by degree-2 polynomials. Namely, a partial Boolean function $f$ is computable by a 1-query quantum algorithm with error bounded by $\epsilon<1/2$ iff $f$ can be approximated by a degree-2 polynomial with error bounded by $\epsilon'<1/2$. This result holds for two different notions of approximation by a polynomial: the standard definition of Nisan and Szegedy and the approximation by block-multilinear polynomials recently introduced by Aaronson and Ambainis (STOC'2015, arxiv:1411.5729). We also show two results for polynomials of higher degree. First, there is a total Boolean function which requires $\tilde{\Omega}(n)$ quantum queries but can be represented by a block-multilinear polynomial of degree $\tilde{O}(\sqrt{n})$. Thus, in the general case (for an arbitrary number of queries), block-multilinear polynomials are not equivalent to quantum algorithms. Second, for any constant degree $k$, the two notions of approximation by a polynomial (the standard and the block-multilinear) are equivalent. As a consequence, we solve an open problem of Aaronson and Ambainis, showing that one can estimate the value of any bounded degree-$k$ polynomial $p:\{0, 1\}^n \rightarrow [-1, 1]$ with $O(n^{1-\frac{1}{2k}})$ queries.