Bootstrapping quantum process tomography via a perturbative ansatz

Quantum process tomography represents one of the workhorses of quantum information processing, but suffers from exponential resource scaling. Here, the authors propose to efficiently infer general processes by approximating them through a sequence of two-qubit processes, and demonstrate it on a thre...

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Autores principales:	L. C. G. Govia, G. J. Ribeill, D. Ristè, M. Ware, H. Krovi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/04158d734a05489c9f7057b405121fd3
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spelling	oai:doaj.org-article:04158d734a05489c9f7057b405121fd32021-12-02T15:39:20ZBootstrapping quantum process tomography via a perturbative ansatz10.1038/s41467-020-14873-12041-1723https://doaj.org/article/04158d734a05489c9f7057b405121fd32020-02-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-14873-1https://doaj.org/toc/2041-1723Quantum process tomography represents one of the workhorses of quantum information processing, but suffers from exponential resource scaling. Here, the authors propose to efficiently infer general processes by approximating them through a sequence of two-qubit processes, and demonstrate it on a three-qubit case.L. C. G. GoviaG. J. RibeillD. RistèM. WareH. KroviNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q L. C. G. Govia G. J. Ribeill D. Ristè M. Ware H. Krovi Bootstrapping quantum process tomography via a perturbative ansatz
description	Quantum process tomography represents one of the workhorses of quantum information processing, but suffers from exponential resource scaling. Here, the authors propose to efficiently infer general processes by approximating them through a sequence of two-qubit processes, and demonstrate it on a three-qubit case.
format	article
author	L. C. G. Govia G. J. Ribeill D. Ristè M. Ware H. Krovi
author_facet	L. C. G. Govia G. J. Ribeill D. Ristè M. Ware H. Krovi
author_sort	L. C. G. Govia
title	Bootstrapping quantum process tomography via a perturbative ansatz
title_short	Bootstrapping quantum process tomography via a perturbative ansatz
title_full	Bootstrapping quantum process tomography via a perturbative ansatz
title_fullStr	Bootstrapping quantum process tomography via a perturbative ansatz
title_full_unstemmed	Bootstrapping quantum process tomography via a perturbative ansatz
title_sort	bootstrapping quantum process tomography via a perturbative ansatz
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/04158d734a05489c9f7057b405121fd3
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Bootstrapping quantum process tomography via a perturbative ansatz

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