Selective and efficient estimation of parameters for quantum process tomography

We present a new method for quantum process tomography enabling the efficient estimation, with fixed precision, of any of the parameters characterizing a quantum channel. The estimation strategy depends upon the set of matrix elements one selects to estimate. Furthermore, we describe a way to effici...

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Autores principales: Bendersky, Ariel Martín, Paz, Juan Pablo
Publicado: 2008
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319007_v100_n19_p_Bendersky
http://hdl.handle.net/20.500.12110/paper_00319007_v100_n19_p_Bendersky
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spelling paper:paper_00319007_v100_n19_p_Bendersky2023-06-08T14:57:45Z Selective and efficient estimation of parameters for quantum process tomography Bendersky, Ariel Martín Paz, Juan Pablo Information analysis Parameter estimation Probability Problem solving Quantum optics Parameters characterization Quantum channels Quantum process tomography Optical tomography We present a new method for quantum process tomography enabling the efficient estimation, with fixed precision, of any of the parameters characterizing a quantum channel. The estimation strategy depends upon the set of matrix elements one selects to estimate. Furthermore, we describe a way to efficiently gather all the information required to efficiently estimate any average survival probability of the channel (i.e., to measure any diagonal element of its χ matrix). © 2008 The American Physical Society. Fil:Bendersky, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Paz, J.P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2008 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319007_v100_n19_p_Bendersky http://hdl.handle.net/20.500.12110/paper_00319007_v100_n19_p_Bendersky
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic Information analysis
Parameter estimation
Probability
Problem solving
Quantum optics
Parameters characterization
Quantum channels
Quantum process tomography
Optical tomography
spellingShingle Information analysis
Parameter estimation
Probability
Problem solving
Quantum optics
Parameters characterization
Quantum channels
Quantum process tomography
Optical tomography
Bendersky, Ariel Martín
Paz, Juan Pablo
Selective and efficient estimation of parameters for quantum process tomography
topic_facet Information analysis
Parameter estimation
Probability
Problem solving
Quantum optics
Parameters characterization
Quantum channels
Quantum process tomography
Optical tomography
description We present a new method for quantum process tomography enabling the efficient estimation, with fixed precision, of any of the parameters characterizing a quantum channel. The estimation strategy depends upon the set of matrix elements one selects to estimate. Furthermore, we describe a way to efficiently gather all the information required to efficiently estimate any average survival probability of the channel (i.e., to measure any diagonal element of its χ matrix). © 2008 The American Physical Society.
author Bendersky, Ariel Martín
Paz, Juan Pablo
author_facet Bendersky, Ariel Martín
Paz, Juan Pablo
author_sort Bendersky, Ariel Martín
title Selective and efficient estimation of parameters for quantum process tomography
title_short Selective and efficient estimation of parameters for quantum process tomography
title_full Selective and efficient estimation of parameters for quantum process tomography
title_fullStr Selective and efficient estimation of parameters for quantum process tomography
title_full_unstemmed Selective and efficient estimation of parameters for quantum process tomography
title_sort selective and efficient estimation of parameters for quantum process tomography
publishDate 2008
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00319007_v100_n19_p_Bendersky
http://hdl.handle.net/20.500.12110/paper_00319007_v100_n19_p_Bendersky
work_keys_str_mv AT benderskyarielmartin selectiveandefficientestimationofparametersforquantumprocesstomography
AT pazjuanpablo selectiveandefficientestimationofparametersforquantumprocesstomography
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