Bures/statistical distinguishability probabilities of triseparable and biseparable Eggeling-Werner States

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

eleven pages, two tables, one figure, LaTeX, two appendices of T. Eggeling, minor changes

Scientific paper

In a number of previous studies, we have investigated the use of the volume element of the Bures (minimal monotone) metric -- identically, one-fourth of the statistical distinguishability (SD) metric -- as a natural measure over the (n^2-1)-dimensional convex set of n x n density matrices. This has led us for the cases n = 4 and 6 to estimates of the prior (Bures/SD) probabilities that qubit-qubit and qubit-qutrit pairs are separable. Here, we extend this work from such bipartite systems to the tripartite "laboratory'' quantum systems possessing U x U x U symmetry recently constructed by Eggeling and Werner (Phys. Rev. A 63 [2001], 042324). We derive the associated SD metric tensors for the three-qubit and three-qutrit cases, and then obtain estimates of the various related Bures/SD probabilities using Monte Carlo methods.

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

Bures/statistical distinguishability probabilities of triseparable and biseparable Eggeling-Werner States 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 Bures/statistical distinguishability probabilities of triseparable and biseparable Eggeling-Werner States, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bures/statistical distinguishability probabilities of triseparable and biseparable Eggeling-Werner States will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-435194

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