CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Tags

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

by: Hugo Cable, Jonathan P. Dowling
Physical Review Letters, Vol. 99 (Oct 2007), 163604, doi:10.1103/physrevlett.99.163604  Key: citeulike:12058080

Formatted Citation


Show HTML

Likes (beta)

This copy of the article hasn't been liked by anyone yet.

View FullText article


Abstract

We show how an idealized 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 superposition states 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, macroscopic quantum superposition states are produced. We describe a linear-optical circuit for making the components of such a state orthogonal, and another to convert the output to a N00N state. Our approach scales exponentially better than existing proposals. Important applications include quantum imaging and metrology.


dominichosler's tags for this article

Citations (CiTO)

No CiTO relationships defined

X There are no reviews yet

X Find related articles with these CiteULike tags

X Posting History


X Export records

Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.