Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks
Abstract We introduce the concept of spatio-temporal steering (STS), which reduces, in special cases, to Einstein-Podolsky-Rosen steering and the recently-introduced temporal steering. We describe two measures of this effect referred to as the STS weight and robustness. We suggest that these STS mea...
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Nature Portfolio
2017
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oai:doaj.org-article:c760504c22464d7c95ecbba97ee195992021-12-02T12:32:38ZSpatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks10.1038/s41598-017-03789-42045-2322https://doaj.org/article/c760504c22464d7c95ecbba97ee195992017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03789-4https://doaj.org/toc/2045-2322Abstract We introduce the concept of spatio-temporal steering (STS), which reduces, in special cases, to Einstein-Podolsky-Rosen steering and the recently-introduced temporal steering. We describe two measures of this effect referred to as the STS weight and robustness. We suggest that these STS measures enable a new way to assess nonclassical correlations in an open quantum network, such as quantum transport through nano-structures or excitation transfer in a complex biological system. As one of our examples, we apply STS to check nonclassical correlations among sites in a photosynthetic pigment-protein complex in the Fenna-Matthews-Olson model.Shin-Liang ChenNeill LambertChe-Ming LiGuang-Yin ChenYueh-Nan ChenAdam MiranowiczFranco NoriNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-8 (2017) |
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Medicine R Science Q Shin-Liang Chen Neill Lambert Che-Ming Li Guang-Yin Chen Yueh-Nan Chen Adam Miranowicz Franco Nori Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
description |
Abstract We introduce the concept of spatio-temporal steering (STS), which reduces, in special cases, to Einstein-Podolsky-Rosen steering and the recently-introduced temporal steering. We describe two measures of this effect referred to as the STS weight and robustness. We suggest that these STS measures enable a new way to assess nonclassical correlations in an open quantum network, such as quantum transport through nano-structures or excitation transfer in a complex biological system. As one of our examples, we apply STS to check nonclassical correlations among sites in a photosynthetic pigment-protein complex in the Fenna-Matthews-Olson model. |
format |
article |
author |
Shin-Liang Chen Neill Lambert Che-Ming Li Guang-Yin Chen Yueh-Nan Chen Adam Miranowicz Franco Nori |
author_facet |
Shin-Liang Chen Neill Lambert Che-Ming Li Guang-Yin Chen Yueh-Nan Chen Adam Miranowicz Franco Nori |
author_sort |
Shin-Liang Chen |
title |
Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
title_short |
Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
title_full |
Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
title_fullStr |
Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
title_full_unstemmed |
Spatio-Temporal Steering for Testing Nonclassical Correlations in Quantum Networks |
title_sort |
spatio-temporal steering for testing nonclassical correlations in quantum networks |
publisher |
Nature Portfolio |
publishDate |
2017 |
url |
https://doaj.org/article/c760504c22464d7c95ecbba97ee19599 |
work_keys_str_mv |
AT shinliangchen spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT neilllambert spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT chemingli spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT guangyinchen spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT yuehnanchen spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT adammiranowicz spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks AT franconori spatiotemporalsteeringfortestingnonclassicalcorrelationsinquantumnetworks |
_version_ |
1718394004602617856 |