Unitarily localizable entanglement of Gaussian states

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

10 pages, 2 figures

Scientific paper

10.1103/PhysRevA.71.032349

We consider generic $m\times n$-mode bipartitions of continuous variable systems, and study the associated bisymmetric multimode Gaussian states. They are defined as $(m+n)$-mode Gaussian states invariant under local mode permutations on the $m$-mode and $n$-mode subsystems. We prove that such states are equivalent, under local unitary transformations, to the tensor product of a two-mode state and of $m+n-2$ uncorrelated single-mode states. The entanglement between the $m$-mode and the $n$-mode blocks can then be completely concentrated on a single pair of modes by means of local unitary operations alone. This result allows to prove that the PPT (positivity of the partial transpose) condition is necessary and sufficient for the separability of $(m + n)$-mode bisymmetric Gaussian states. We determine exactly their negativity and identify a subset of bisymmetric states whose multimode entanglement of formation can be computed analytically. We consider explicit examples of pure and mixed bisymmetric states and study their entanglement scaling with the number of modes.

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

Unitarily localizable entanglement of Gaussian 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 Unitarily localizable entanglement of Gaussian states, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Unitarily localizable entanglement of Gaussian states will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-212753

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