Selective and efficient quantum state tomography and its application to quantum process tomography

Autores
Bendersky, Ariel Martin; Paz, Juan Pablo
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling one to perform selective and efficient quantum process tomography.
Fil: Bendersky, Ariel Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Paz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
Materia
Quantum Algorithms
Quantum Information Processing
Quantum State Tomography
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/2443
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Selective and efficient quantum state tomography and its application to quantum process tomographyBendersky, Ariel MartinPaz, Juan PabloQuantum AlgorithmsQuantum Information ProcessingQuantum State Tomographyhttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling one to perform selective and efficient quantum process tomography.Fil: Bendersky, Ariel Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; ArgentinaFil: Paz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaAmerican Physical Society2013-01-18info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/octet-streamhttp://hdl.handle.net/11336/2443Bendersky, Ariel Martin; Paz, Juan Pablo; Selective and efficient quantum state tomography and its application to quantum process tomography; American Physical Society; Physical Review A: Atomic, Molecular and Optical Physics; 87; 1; 18-1-2013; 1-51050-2947enginfo:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevA.87.012122info:eu-repo/semantics/altIdentifier/url/http://journals.aps.org/pra/abstract/10.1103/PhysRevA.87.012122info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-11-12T09:48:45Zoai:ri.conicet.gov.ar:11336/2443instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-11-12 09:48:45.878CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Selective and efficient quantum state tomography and its application to quantum process tomography
title Selective and efficient quantum state tomography and its application to quantum process tomography
spellingShingle Selective and efficient quantum state tomography and its application to quantum process tomography
Bendersky, Ariel Martin
Quantum Algorithms
Quantum Information Processing
Quantum State Tomography
title_short Selective and efficient quantum state tomography and its application to quantum process tomography
title_full Selective and efficient quantum state tomography and its application to quantum process tomography
title_fullStr Selective and efficient quantum state tomography and its application to quantum process tomography
title_full_unstemmed Selective and efficient quantum state tomography and its application to quantum process tomography
title_sort Selective and efficient quantum state tomography and its application to quantum process tomography
dc.creator.none.fl_str_mv Bendersky, Ariel Martin
Paz, Juan Pablo
author Bendersky, Ariel Martin
author_facet Bendersky, Ariel Martin
Paz, Juan Pablo
author_role author
author2 Paz, Juan Pablo
author2_role author
dc.subject.none.fl_str_mv Quantum Algorithms
Quantum Information Processing
Quantum State Tomography
topic Quantum Algorithms
Quantum Information Processing
Quantum State Tomography
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.3
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling one to perform selective and efficient quantum process tomography.
Fil: Bendersky, Ariel Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Investigación en Ciencias de la Computación; Argentina
Fil: Paz, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina
description We present a method for quantum state tomography that enables the efficient estimation, with fixed precision, of any of the matrix elements of the density matrix of a state, provided that the states from the basis in which the matrix is written can be efficiently prepared in a controlled manner. Furthermore, we show how this algorithm is well suited for quantum process tomography, enabling one to perform selective and efficient quantum process tomography.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-18
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/2443
Bendersky, Ariel Martin; Paz, Juan Pablo; Selective and efficient quantum state tomography and its application to quantum process tomography; American Physical Society; Physical Review A: Atomic, Molecular and Optical Physics; 87; 1; 18-1-2013; 1-5
1050-2947
url http://hdl.handle.net/11336/2443
identifier_str_mv Bendersky, Ariel Martin; Paz, Juan Pablo; Selective and efficient quantum state tomography and its application to quantum process tomography; American Physical Society; Physical Review A: Atomic, Molecular and Optical Physics; 87; 1; 18-1-2013; 1-5
1050-2947
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1103/PhysRevA.87.012122
info:eu-repo/semantics/altIdentifier/url/http://journals.aps.org/pra/abstract/10.1103/PhysRevA.87.012122
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/octet-stream
dc.publisher.none.fl_str_mv American Physical Society
publisher.none.fl_str_mv American Physical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.24909

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