Exact Quantum Search by Parallel Unitary Discrimination Schemes

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

8 pages (revtex4), 6 figures. Revised version with some typo error corrections and some clearer statement. Accepted by Phys.Re

Scientific paper

10.1103/PhysRevA.78.012303

We study the unsorted database search problem with items $N$ from the viewpoint of unitary discrimination. Instead of considering the famous $O(\sqrt{N})$ Grover's the bounded-error algorithm for the original problem, we seek for the results about the exact algorithms, i.e. the ones succeed with certainty. Under the standard oracle model $\sum_j (-1)^{\delta_{\tau j}}|j>< j|$, we demonstrate a tight lower bound ${2/3}N+o(N)$ of the number of queries for any parallel scheme with unentangled input states. With the assistance of entanglement, we obtain a general lower bound ${1/2}(N-\sqrt{N})$. We provide concrete examples to illustrate our results. In particular, we show that the case of N=6 can be solved exactly with only two queries by using a bipartite entangled input state. Our results indicate that in the standard oracle model the complexity of exact quantum search with one unique solution can be strictly less than that of the calculation of OR function.

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

Exact Quantum Search by Parallel Unitary Discrimination Schemes 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 Exact Quantum Search by Parallel Unitary Discrimination Schemes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Exact Quantum Search by Parallel Unitary Discrimination Schemes will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-651649

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