The standard fair sampling assumption is not necessary to test local realism

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages, includes experimental proposal

Scientific paper

10.1103/PhysRevA.81.012109

Almost all Bell-inequality experiments to date have used postselection, and therefore relied on the fair sampling assumption for their interpretation. The standard form of the fair sampling assumption is that the loss is independent of the measurement settings, so the ensemble of detected systems provides a fair statistical sample of the total ensemble. This is often assumed to be needed to interpret Bell inequality experiments as ruling out hidden-variable theories. Here we show that it is not necessary; the loss can depend on measurement settings, provided the detection efficiency factorises as a function of the measurement settings and any hidden variable. This condition implies that Tsirelson's bound must be satisfied for entangled states. On the other hand, we show that it is possible for Tsirelson's bound to be violated while the CHSH-Bell inequality still holds for unentangled states, and present an experimentally feasible example.

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

The standard fair sampling assumption is not necessary to test local realism 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 The standard fair sampling assumption is not necessary to test local realism, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The standard fair sampling assumption is not necessary to test local realism will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-351960

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