Optimal quantum query bounds for almost all Boolean functions

نویسندگان

  • Andris Ambainis
  • Arturs Backurs
  • Juris Smotrovs
  • Ronald de Wolf
چکیده

We show that almost all n-bit Boolean functions have bounded-error quantum query complexity at least n/2, up to lower-order terms. This improves over an earlier n/4 lower bound of Ambainis [1], and shows that van Dam’s oracle interrogation [9] is essentially optimal for almost all functions. Our proof uses the fact that the acceptance probability of a T -query algorithm can be written as the sum of squares of degree-T polynomials. 1998 ACM Subject Classification F.1.1 Models of Computation

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Exact quantum algorithms have advantage for almost all Boolean functions

It has been proved that almost all n-bit Boolean functions have exact classical query complexity n. However, the situation seemed to be very different when we deal with exact quantum query complexity. In this paper, we prove that almost all n-bit Boolean functions can be computed by an exact quantum algorithm with less than n queries. More exactly, we prove that ANDn is the only n-bit Boolean f...

متن کامل

Characterizations of symmetrically partial Boolean functions with exact quantum query complexity

We give and prove an optimal exact quantum query algorithm with complexity k+ 1 for computing the promise problem (i.e., symmetric and partial Boolean function) DJ n defined as: DJ k n(x) = 1 for |x| = n/2, DJ n(x) = 0 for |x| in the set {0, 1, . . . , k, n − k, n − k + 1, . . . , n}, and it is undefined for the rest cases, where n is even, |x| is the Hamming weight of x. The case of k = 0 is t...

متن کامل

Least span program witness size equals the general adversary lower bound on quantum query complexity

Span programs form a linear-algebraic model of computation, with span program “size” used in proving classical lower bounds. Quantum query complexity is a coherent generalization, for quantum algorithms, of classical decision-tree complexity. It is bounded below by a semi-definite program (SDP) known as the general adversary bound. We connect these classical and quantum models by proving that f...

متن کامل

On the additive and multiplicative adversary methods

The quantum adversary method is a powerful technique to prove lower bounds on quantum query complexity [BBBV97, Amb00, HNS01, BS04, Amb03, LM08]. The idea is to define a progress function varying from an initial value (before any query) to a final value (depending on the success probability of the algorithm) with one main property: the value of the progress function varies only when the oracle ...

متن کامل

Span programs and quantum query algorithms

Quantum query complexity measures the number of input bits that must be read by a quantum algorithm in order to evaluate a function. Høyer et al. (2007) have generalized the adversary semidefinite program that lower-bounds quantum query complexity. By giving a matching quantum algorithm, we show that the general adversary lower bound is tight for every boolean function. The proof is based on sp...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013