http://www.cnr.it/ontology/cnr/individuo/prodotto/ID177335

Effective method to estimate multidimensional Gaussian states (Articolo in rivista)

Type

Label

Effective method to estimate multidimensional Gaussian states (Articolo in rivista) (literal)

Anno

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

Alternative label

Solimeno, S. (7); Paris, M. G A (4); D'Auria, V. (8); ?ehá?ek, J. (3); Hradil, Z. (3); Olivares, S. (4); Mogilevtsev, D. (5); Fornaro, S. (7); Porzio, A. (7) (2009)
Effective method to estimate multidimensional Gaussian states
in Physical review. A; American Physical Society (APS), College Pk (Stati Uniti d'America)
(literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

Solimeno, S. (7); Paris, M. G A (4); D'Auria, V. (8); ?ehá?ek, J. (3); Hradil, Z. (3); Olivares, S. (4); Mogilevtsev, D. (5); Fornaro, S. (7); Porzio, A. (7) (literal)

Pagina inizio

Pagina fine

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

Rivista

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo

Note

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

(1) Dipartimento di Fisica - Università di Milano; (2) Institute for Scientific Interchange Foundation - ; (3) Department of Optics - Palacky University; (4) CNISM - UdR; (5) Institute of Physics - Belarus National Academy of Sciences; (6) Dipartimento di Scienze Fisiche - Università Federico II; (7) CNISM UdR Napoli - Complesso Universitario Monte sant'Angelo; (8) Laboratoire Kastler Brossel - Ecole Normale Supérieure (literal)

Titolo

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 ?2 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. (literal)

Editore