Adaptive Bayesian and frequentist data processing for quantum tomography
Quantum Physics
2009-12-21 v2
Abstract
The outcome statistics of an informationally complete quantum measurement for a system in a given state can be used to evaluate the ensemble expectation of any linear operator in the same state, by averaging a function of the outcomes that depends on the specific operator. Here we introduce two novel data-processing strategies, non-linear in the frequencies, which lead to faster convergence to theoretical expectations.
Cite
@article{arxiv.0807.5058,
title = {Adaptive Bayesian and frequentist data processing for quantum tomography},
author = {G. M. D'Ariano and D. F. Magnani and P. Perinotti},
journal= {arXiv preprint arXiv:0807.5058},
year = {2009}
}
Comments
12 pages, 2 figures, revised version