Efficient quantum protocols for XOR functions

preprint2013arXivOpen access

Abstract

We show that for any Boolean function f on {0,1}^n, the bounded-error quantum communication complexity of XOR functions f∘⊕f\circ \oplus satisfies that Qε(f∘⊕)=O(2d(log⁡∥f^∥1,ε+log⁡nε)log⁡(1/ε))Q_ε(f\circ \oplus) = O(2^d (\log\|\hat f\|_{1,ε} + \log \frac{n}ε) \log(1/ε)), where d is the F2-degree of f, and ∥f^∥1,ε=min⁡g:∥f−g∥∞≤ε∥f^∥1\|\hat f\|_{1,ε} = \min_{g:\|f-g\|_\infty \leq ε} \|\hat f\|_1. This implies that the previous lower bound Qε(f∘⊕)=Ω(log⁡∥f^∥1,ε)Q_ε(f\circ \oplus) = Ω(\log\|\hat f\|_{1,ε}) by Lee and Shraibman \cite{LS09} is tight for f with low F2-degree. The result also confirms the quantum version of the Log-rank Conjecture for low-degree XOR functions. In addition, we show that the exact quantum communication complexity satisfies QE(f)=O(2dlog⁡∥f^∥0)Q_E(f) = O(2^d \log \|\hat f\|_0), where ∥f^∥0\|\hat f\|_0 is the number of nonzero Fourier coefficients of f. This matches the previous lower bound QE(f(x,y))=Ω(log⁡rank(Mf))Q_E(f(x,y)) = Ω(\log rank(M_f)) by Buhrman and de Wolf \cite{BdW01} for low-degree XOR functions.

Explore this paper’s authors, topics and related work.

Building this map preview

BZPEER is loading the nearby papers, people, topics and institutions for this page.

Reviews 0

Write a reviewWrite

No reviews yet.

Discussion 0

Add a commentWrite

No comments yet.