Analysis of Generalized Grover's Quantum Search Algorithms Using Recursion Equations

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages, no figures. To appear in Phys. Rev. A

Scientific paper

10.1103/PhysRevA.63.012310

The recursion equation analysis of Grover's quantum search algorithm presented by Biham et al. [PRA 60, 2742 (1999)] is generalized. It is applied to the large class of Grover's type algorithms in which the Hadamard transform is replaced by any other unitary transformation and the phase inversion is replaced by a rotation by an arbitrary angle. The time evolution of the amplitudes of the marked and unmarked states, for any initial complex amplitude distribution is expressed using first order linear difference equations. These equations are solved exactly. The solution provides the number of iterations T after which the probability of finding a marked state upon measurement is the highest, as well as the value of this probability, P_max. Both T and P_max are found to depend on the averages and variances of the initial amplitude distributions of the marked and unmarked states, but not on higher moments.

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

Analysis of Generalized Grover's Quantum Search Algorithms Using Recursion Equations 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 Analysis of Generalized Grover's Quantum Search Algorithms Using Recursion Equations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis of Generalized Grover's Quantum Search Algorithms Using Recursion Equations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-666648

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