Minimax estimation of the Wigner function in quantum homodyne tomography with ideal detectors

Mathematics – Statistics Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

15 pages

Scientific paper

10.3103/S1066530707010012

We estimate the quantum state of a light beam from results of quantum homodyne measurements performed on identically prepared pulses. The state is represented through the Wigner function, a ``quasi-probability density'' on $\mathbb{R}^{2}$ which may take negative values and must respect intrinsic positivity constraints imposed by quantum physics. The data consists of $n$ i.i.d. observations from a probability density equal to the Radon transform of the Wigner function. We construct an estimator for the Wigner function, and prove that it is minimax efficient for the pointwise risk over a class of infinitely differentiable functions. A similar result was previously derived by Cavalier in the context of positron emission tomography. Our work extends this result to the space of smooth Wigner functions, which is the relevant parameter space for quantum homodyne tomography.

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

Minimax estimation of the Wigner function in quantum homodyne tomography with ideal detectors 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 Minimax estimation of the Wigner function in quantum homodyne tomography with ideal detectors, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Minimax estimation of the Wigner function in quantum homodyne tomography with ideal detectors will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-595004

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