Optimization of quantum interferometric metrological sensors in the presence of photon loss

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3 figures

Scientific paper

We optimize two-mode, entangled, number states of light in the presence of loss in order to maximize the extraction of the available phase information in an interferometer. Our approach optimizes over the entire available input Hilbert space with no constraints, other than fixed total initial photon number. We optimize to maximize the Fisher information, which is equivalent to minimizing the phase uncertainty. We find that in the limit of zero loss the optimal state is the so-called N00N state, for small loss, the optimal state gradually deviates from the N00N state, and in the limit of large loss the optimal state converges to a generalized two-mode coherent state, with a finite total number of photons. The results provide a general protocol for optimizing the performance of a quantum optical interferometer in the presence of photon loss, with applications to quantum imaging, metrology, sensing, and information processing.

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

Optimization of quantum interferometric metrological sensors in the presence of photon loss 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 Optimization of quantum interferometric metrological sensors in the presence of photon loss, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Optimization of quantum interferometric metrological sensors in the presence of photon loss will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-665866

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