Numerical model for macroscopic quantum superpositions based on phase-covariant quantum cloning

Physics – Quantum Physics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

28 pages, 5 figures. Submitted to Comp. Phys. Commun

Scientific paper

We present a numerical model of macroscopic quantum superpositions generated by universally covariant optimal quantum cloning. It requires fast computation of the Gaussian hypergeometric function for moderate values of its parameters and argument as well as evaluation of infinite sums involving this function. We developed a method of dynamical estimation of cutoff for these sums. We worked out algorithms performing efficient summation of values of orders ranging from $10^{-100}$ to $10^{100}$ which neither lose precision nor accumulate errors, but provide the summation with acceleration. Our model is well adapted to experimental conditions. It optimizes computation by parallelization and choice of the most efficient algorithm. The methods presented here can be adjusted for analysis of similar experimental schemes. Including decoherence and realistic detection greatly improved the reliability and usability of our model for scientific research.

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

Numerical model for macroscopic quantum superpositions based on phase-covariant quantum cloning 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 Numerical model for macroscopic quantum superpositions based on phase-covariant quantum cloning, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Numerical model for macroscopic quantum superpositions based on phase-covariant quantum cloning will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-697735

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