Generation of Large Number-Path Entanglement Using Linear Optics and Feed-Forward

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

10.1103/PhysRevLett.99.163604

We show how an idealised measurement procedure can condense photons from two modes into one, and how, by feeding forward the results of the measurement, it is possible to generate efficiently superpositions of components for which only one mode is populated, commonly called ``N00N states''. For the basic procedure, sources of number states leak onto a beam splitter, and the output ports are monitored by photodetectors. We find that detecting a fixed fraction of the input at one output port suffices to direct the remainder to the same port with high probability, however large the initial state. When instead photons are detected at both ports, Schr\"{o}dinger cat states are produced. We describe a circuit for making the components of such a state orthogonal, and another for subsequent conversion to a N00N state. Our approach scales exponentially better than existing proposals. Important applications include quantum imaging and metrology.

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

Generation of Large Number-Path Entanglement Using Linear Optics and Feed-Forward 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 Generation of Large Number-Path Entanglement Using Linear Optics and Feed-Forward, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Generation of Large Number-Path Entanglement Using Linear Optics and Feed-Forward will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-292958

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