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Título:
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Objective compressive quantum process tomography
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Autores:
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Teo, Yong Siah ;
Struchalin, G. I. ;
Kovlakov, E. V. ;
Ahn, Daekun ;
Jeong, Hyunseok ;
Straupe, S. S. ;
Kulik, S. P. ;
Leuchs, Gerd ;
Sánchez Soto, Luis Lorenzo
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Tipo de documento:
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texto impreso
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Editorial:
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Amer Physical Soc, 2020-02-01
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Dimensiones:
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application/pdf
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Nota general:
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info:eu-repo/semantics/openAccess
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Idiomas:
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Palabras clave:
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Estado = Publicado
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Materia = Ciencias: Física: Optica
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Tipo = Artículo
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Resumen:
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We present a compressive quantum process tomography scheme that fully characterizes any rank-deficient completely positive process with no spurious a priori information. It uses randomly chosen input states and adaptive output von Neumann measurements. Both entangled and tensor-product configurations are flexibly employable in our scheme, the latter of which are especially compatible with many-body quantum computing. Two main features of this scheme are the certification protocol that verifies whether the accumulated data uniquely characterize the quantum process and a compressive reconstruction method for the output states. We emulate multipartite scenarios with high-order transverse modes and optical fibers to demonstrate that, in terms of measurement resources, our assumption-free compressive strategy can reconstruct quantum processes almost equally efficiently using all types of input states and basis measurements.
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En línea:
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https://eprints.ucm.es/59723/1/SanchezSotoLL%2029%20LIBRE.pdf
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