• Title of article

    Quantum algorithms for testing Boolean functions

  • Author/Authors

    Dominik F. Floess، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    8
  • From page
    101
  • To page
    108
  • Abstract
    We discuss quantum algorithms, based on the Bernstein-Vazirani algorithm, for finding which variables a Boolean function depends on. There are 2" possible linear Boolean functions of n variables; given a linear Boolean function, the Bernstein-Vazirani quantum algorithm can deterministically identify which one of these Boolean functions we are given using just one single function query. The same quantum algorithm can also be used to learn which input variables other types of Boolean functions depend on, with a success probability that depends on the form of the Boolean function that is tested, but does not depend on the total number of input variables. We also outline a procedure to futher amplify the success probability, based on another quantum algorithm, the Grover search.
  • Journal title
    Electronic Proceedings in Theoretical Computer Science
  • Serial Year
    2010
  • Journal title
    Electronic Proceedings in Theoretical Computer Science
  • Record number

    679892