Quantum annealing for the number-partitioning problem using a tunable spin glass of ions

Spin models appear in several fields of physics and beyond, but solving many of them is a task for which no general efficient classical algorithm is known to exist. Here the authors demonstrate how a variety of spin glass models can be implemented and solved, via quantum simulation, in a system of t...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Tobias Graß, David Raventós, Bruno Juliá-Díaz, Christian Gogolin, Maciej Lewenstein
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2016
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/98a3fda309784107b3d5ed8098a77d91
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:98a3fda309784107b3d5ed8098a77d91
record_format	dspace
spelling	oai:doaj.org-article:98a3fda309784107b3d5ed8098a77d912021-12-02T15:34:32ZQuantum annealing for the number-partitioning problem using a tunable spin glass of ions10.1038/ncomms115242041-1723https://doaj.org/article/98a3fda309784107b3d5ed8098a77d912016-05-01T00:00:00Zhttps://doi.org/10.1038/ncomms11524https://doaj.org/toc/2041-1723Spin models appear in several fields of physics and beyond, but solving many of them is a task for which no general efficient classical algorithm is known to exist. Here the authors demonstrate how a variety of spin glass models can be implemented and solved, via quantum simulation, in a system of trapped ions.Tobias GraßDavid RaventósBruno Juliá-DíazChristian GogolinMaciej LewensteinNature PortfolioarticleScienceQENNature Communications, Vol 7, Iss 1, Pp 1-9 (2016)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Tobias Graß David Raventós Bruno Juliá-Díaz Christian Gogolin Maciej Lewenstein Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
description	Spin models appear in several fields of physics and beyond, but solving many of them is a task for which no general efficient classical algorithm is known to exist. Here the authors demonstrate how a variety of spin glass models can be implemented and solved, via quantum simulation, in a system of trapped ions.
format	article
author	Tobias Graß David Raventós Bruno Juliá-Díaz Christian Gogolin Maciej Lewenstein
author_facet	Tobias Graß David Raventós Bruno Juliá-Díaz Christian Gogolin Maciej Lewenstein
author_sort	Tobias Graß
title	Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
title_short	Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
title_full	Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
title_fullStr	Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
title_full_unstemmed	Quantum annealing for the number-partitioning problem using a tunable spin glass of ions
title_sort	quantum annealing for the number-partitioning problem using a tunable spin glass of ions
publisher	Nature Portfolio
publishDate	2016
url	https://doaj.org/article/98a3fda309784107b3d5ed8098a77d91
work_keys_str_mv	AT tobiasgraß quantumannealingforthenumberpartitioningproblemusingatunablespinglassofions AT davidraventos quantumannealingforthenumberpartitioningproblemusingatunablespinglassofions AT brunojuliadiaz quantumannealingforthenumberpartitioningproblemusingatunablespinglassofions AT christiangogolin quantumannealingforthenumberpartitioningproblemusingatunablespinglassofions AT maciejlewenstein quantumannealingforthenumberpartitioningproblemusingatunablespinglassofions
_version_	1718386794972577792

Quantum annealing for the number-partitioning problem using a tunable spin glass of ions

Ejemplares similares