Adaptive Bayesian and frequentist data processing for quantum tomography
arXiv:0807.5058 · doi:10.1016/j.physleta.2009.01.055
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.
12 pages, 2 figures, revised version