Data di Pubblicazione:
2009
Citazione:
Effective method to estimate multidimensional Gaussian states / J. Rehacek, S. Olivares, D. Mogilevtsev, Z. Hradil, M. Paris, S. Fornaro, V. D'Auria, A. Porzio, S. Solimeno. - In: PHYSICAL REVIEW A. - ISSN 1050-2947. - 79:3(2009), pp. 032111.032111.1-032111.032111.7.
Abstract:
A simple and efficient method for characterization of multidimensional Gaussian states is suggested and
experimentally demonstrated. Our scheme shows analogies with tomography of finite-dimensional quantum
states, with the covariance matrix playing the role of the density matrix and homodyne detection providing
Stern-Gerlach-like projections. The major difference stems from a different character of relevant noises: while
the statistics of Stern-Gerlach-like measurements is governed by binomial statistics, the detection of quadrature
variances corresponds to χ2 statistics. For Gaussian and near Gaussian states the suggested method provides, compared to standard tomography techniques, more stable and reliable reconstructions. In addition, by putting together reconstruction methods for Gaussian and arbitrary states, we obtain a tool to detect the non-Gaussian character of optical signals.
Tipologia IRIS:
01 - Articolo su periodico
Keywords:
binomial distribution ; covariance matrices ; Gaussian processes ; optical information processing ; quantum optics ; quantum theory ; statistical analysis
Elenco autori:
J. Rehacek, S. Olivares, D. Mogilevtsev, Z. Hradil, M. Paris, S. Fornaro, V. D'Auria, A. Porzio, S. Solimeno
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