Experimental detection of entanglement polytopes via local filters
Entanglement polytopes: An effective way to distinguish entanglement types An experiment-friendly method has been proposed to detect the entanglement type of multi-particle states. The way of characterizing entanglement types is a central question in studying entanglement. Entanglement polytopes ser...
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Nature Portfolio
2017
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oai:doaj.org-article:f139b93f6fa24756ba45c3cbc9f2810a2021-12-02T11:41:57ZExperimental detection of entanglement polytopes via local filters10.1038/s41534-017-0007-52056-6387https://doaj.org/article/f139b93f6fa24756ba45c3cbc9f2810a2017-03-01T00:00:00Zhttps://doi.org/10.1038/s41534-017-0007-5https://doaj.org/toc/2056-6387Entanglement polytopes: An effective way to distinguish entanglement types An experiment-friendly method has been proposed to detect the entanglement type of multi-particle states. The way of characterizing entanglement types is a central question in studying entanglement. Entanglement polytopes serve as an elegant method to solve this issue by using the information of single particles alone, namely their local spectra. However, classifying states via entanglement polytopes is limited due to the large overlap of different polytopes. Here an international group of scientists proposed to use SLOCC (stochastic local operation and classical communication operations to overcome this difficulty. They experimentally detected the entanglement polytopes for two four-qubit states having the same local spectra by using SLOCC operations to move them to a non-overlapping region. Their method sheds light on experimental detection of entanglement in a general way.Yuan-Yuan ZhaoMarkus GrasslBei ZengGuo-Yong XiangChao ZhangChuan-Feng LiGuang-Can GuoNature PortfolioarticlePhysicsQC1-999Electronic computers. Computer scienceQA75.5-76.95ENnpj Quantum Information, Vol 3, Iss 1, Pp 1-7 (2017) |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 |
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Physics QC1-999 Electronic computers. Computer science QA75.5-76.95 Yuan-Yuan Zhao Markus Grassl Bei Zeng Guo-Yong Xiang Chao Zhang Chuan-Feng Li Guang-Can Guo Experimental detection of entanglement polytopes via local filters |
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Entanglement polytopes: An effective way to distinguish entanglement types An experiment-friendly method has been proposed to detect the entanglement type of multi-particle states. The way of characterizing entanglement types is a central question in studying entanglement. Entanglement polytopes serve as an elegant method to solve this issue by using the information of single particles alone, namely their local spectra. However, classifying states via entanglement polytopes is limited due to the large overlap of different polytopes. Here an international group of scientists proposed to use SLOCC (stochastic local operation and classical communication operations to overcome this difficulty. They experimentally detected the entanglement polytopes for two four-qubit states having the same local spectra by using SLOCC operations to move them to a non-overlapping region. Their method sheds light on experimental detection of entanglement in a general way. |
format |
article |
author |
Yuan-Yuan Zhao Markus Grassl Bei Zeng Guo-Yong Xiang Chao Zhang Chuan-Feng Li Guang-Can Guo |
author_facet |
Yuan-Yuan Zhao Markus Grassl Bei Zeng Guo-Yong Xiang Chao Zhang Chuan-Feng Li Guang-Can Guo |
author_sort |
Yuan-Yuan Zhao |
title |
Experimental detection of entanglement polytopes via local filters |
title_short |
Experimental detection of entanglement polytopes via local filters |
title_full |
Experimental detection of entanglement polytopes via local filters |
title_fullStr |
Experimental detection of entanglement polytopes via local filters |
title_full_unstemmed |
Experimental detection of entanglement polytopes via local filters |
title_sort |
experimental detection of entanglement polytopes via local filters |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/f139b93f6fa24756ba45c3cbc9f2810a |
work_keys_str_mv |
AT yuanyuanzhao experimentaldetectionofentanglementpolytopesvialocalfilters AT markusgrassl experimentaldetectionofentanglementpolytopesvialocalfilters AT beizeng experimentaldetectionofentanglementpolytopesvialocalfilters AT guoyongxiang experimentaldetectionofentanglementpolytopesvialocalfilters AT chaozhang experimentaldetectionofentanglementpolytopesvialocalfilters AT chuanfengli experimentaldetectionofentanglementpolytopesvialocalfilters AT guangcanguo experimentaldetectionofentanglementpolytopesvialocalfilters |
_version_ |
1718395377284022272 |