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arXiv · 0807.5058

Adaptive Bayesian and frequentist data processing for quantum tomography

G. M. D'Ariano·D. F. Magnani·P. Perinotti
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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.

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G. M. D'Ariano, D. F. Magnani, P. Perinotti. 2009-01-14. Adaptive Bayesian and frequentist data processing for quantum tomography. https://doi.org/10.1016/j.physleta.2009.01.055

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