A lambda calculus for density matrices with classical and probabilistic controls
- Autores
- Díaz Caro, Alejandro
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- In this paper we present two flavors of a quantum extension to the lambda calculus. The first one, λρ,follows the approach of classical control/quantum data, where the quantum data is represented by density matrices. We provide an interpretation for programs as density matrices and functions upon them. The second one, λρ∘, takes advantage of the density matrices presentation in order to follow the mixed trace of programs in a kind of generalised density matrix. Such a control can be seen as a weaker form of the quantum control and data approach.** El volume de LNCS es 10695, pero el formulario sólo permite 4 dígitos **
Fil: Díaz Caro, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina - Materia
-
Classical Control
Density Matrices
Lambda Calculus
Quantum Computing - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/43254
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A lambda calculus for density matrices with classical and probabilistic controlsDíaz Caro, AlejandroClassical ControlDensity MatricesLambda CalculusQuantum Computinghttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1In this paper we present two flavors of a quantum extension to the lambda calculus. The first one, λρ,follows the approach of classical control/quantum data, where the quantum data is represented by density matrices. We provide an interpretation for programs as density matrices and functions upon them. The second one, λρ∘, takes advantage of the density matrices presentation in order to follow the mixed trace of programs in a kind of generalised density matrix. Such a control can be seen as a weaker form of the quantum control and data approach.** El volume de LNCS es 10695, pero el formulario sólo permite 4 dígitos **Fil: Díaz Caro, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; ArgentinaSpringer2017-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/43254Díaz Caro, Alejandro; A lambda calculus for density matrices with classical and probabilistic controls; Springer; Lecture Notes in Computer Science; 1069; 11-2017; 448-4670302-9743CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-71237-6_22info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-319-71237-6_22info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:52:39Zoai:ri.conicet.gov.ar:11336/43254instacron: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:34982025-09-03 09:52:39.911CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A lambda calculus for density matrices with classical and probabilistic controls |
title |
A lambda calculus for density matrices with classical and probabilistic controls |
spellingShingle |
A lambda calculus for density matrices with classical and probabilistic controls Díaz Caro, Alejandro Classical Control Density Matrices Lambda Calculus Quantum Computing |
title_short |
A lambda calculus for density matrices with classical and probabilistic controls |
title_full |
A lambda calculus for density matrices with classical and probabilistic controls |
title_fullStr |
A lambda calculus for density matrices with classical and probabilistic controls |
title_full_unstemmed |
A lambda calculus for density matrices with classical and probabilistic controls |
title_sort |
A lambda calculus for density matrices with classical and probabilistic controls |
dc.creator.none.fl_str_mv |
Díaz Caro, Alejandro |
author |
Díaz Caro, Alejandro |
author_facet |
Díaz Caro, Alejandro |
author_role |
author |
dc.subject.none.fl_str_mv |
Classical Control Density Matrices Lambda Calculus Quantum Computing |
topic |
Classical Control Density Matrices Lambda Calculus Quantum Computing |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.2 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
In this paper we present two flavors of a quantum extension to the lambda calculus. The first one, λρ,follows the approach of classical control/quantum data, where the quantum data is represented by density matrices. We provide an interpretation for programs as density matrices and functions upon them. The second one, λρ∘, takes advantage of the density matrices presentation in order to follow the mixed trace of programs in a kind of generalised density matrix. Such a control can be seen as a weaker form of the quantum control and data approach.** El volume de LNCS es 10695, pero el formulario sólo permite 4 dígitos ** Fil: Díaz Caro, Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Quilmes; Argentina |
description |
In this paper we present two flavors of a quantum extension to the lambda calculus. The first one, λρ,follows the approach of classical control/quantum data, where the quantum data is represented by density matrices. We provide an interpretation for programs as density matrices and functions upon them. The second one, λρ∘, takes advantage of the density matrices presentation in order to follow the mixed trace of programs in a kind of generalised density matrix. Such a control can be seen as a weaker form of the quantum control and data approach.** El volume de LNCS es 10695, pero el formulario sólo permite 4 dígitos ** |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-11 |
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/11336/43254 Díaz Caro, Alejandro; A lambda calculus for density matrices with classical and probabilistic controls; Springer; Lecture Notes in Computer Science; 1069; 11-2017; 448-467 0302-9743 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/43254 |
identifier_str_mv |
Díaz Caro, Alejandro; A lambda calculus for density matrices with classical and probabilistic controls; Springer; Lecture Notes in Computer Science; 1069; 11-2017; 448-467 0302-9743 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.1007/978-3-319-71237-6_22 info:eu-repo/semantics/altIdentifier/url/https://link.springer.com/chapter/10.1007%2F978-3-319-71237-6_22 |
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/pdf |
dc.publisher.none.fl_str_mv |
Springer |
publisher.none.fl_str_mv |
Springer |
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) |
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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 |
13.13397 |