Quantum tests for the linearity and permutation invariance of Boolean functions

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Replaced with published version

Scientific paper

The goal in function property testing is to determine whether a black-box Boolean function has a certain property or is epsilon-far from having that property. The performance of the algorithm is judged by how many calls need to be made to the black box in order to determine, with high probability, which of the two alternatives is the case. Here we present two quantum algorithms, the first to determine whether the function is linear and the second to determine whether it is symmetric (invariant under permutations of the arguments). Both require O(epsilon^{-2/3}) calls to the oracle, which is better than known classical algorithms. In addition, in the case of linearity testing, if the function is linear, the quantum algorithm identifies which linear function it is. The linearity test combines the Bernstein-Vazirani algorithm and amplitude amplification, while the test to determine whether a function is symmetric uses projective measurements and amplitude amplification.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Quantum tests for the linearity and permutation invariance of Boolean functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Quantum tests for the linearity and permutation invariance of Boolean functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Quantum tests for the linearity and permutation invariance of Boolean functions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-393363

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.