2020
DOI: 10.1088/1751-8121/abba46
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Enhanced realignment criterion vs linear entanglement witnesses

Abstract: It is shown that the enhanced (nonlinear) realignment criterion is equivalent to the family of linear criteria based on correlation tensor. These criteria generalize the original (linear) realignment criterium and give rise to the family of entanglement witnesses. An appropriate limiting procedure is proposed which leads to a novel class of witnesses which are as powerful as the enhanced realignment criterion.

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Cited by 14 publications
(13 citation statements)
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References 29 publications
(43 reference statements)
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“…Hence, the enhanced realignment criterion is equivalent to the to the family of XYcriteria minimising p xy . Interestingly, in [12] we proved that this equivalence is always realized for large values of x and y, but for isotropic states in Eq. ( 5) it is enough consider x, y belonging to the hyperbola in Eq.…”
Section: Comparison With Enhanced Realignment Criterionmentioning
confidence: 68%
See 1 more Smart Citation
“…Hence, the enhanced realignment criterion is equivalent to the to the family of XYcriteria minimising p xy . Interestingly, in [12] we proved that this equivalence is always realized for large values of x and y, but for isotropic states in Eq. ( 5) it is enough consider x, y belonging to the hyperbola in Eq.…”
Section: Comparison With Enhanced Realignment Criterionmentioning
confidence: 68%
“…Enhanced realignment criterion turns out to be the strongest effectively computable simplification of Correlation Matrix Criterion [14][15][16] (see also [17] for the unifying approach). In the recent papers [12] we showed that this criterion is equivalent to (2) for all x, y ≥ 0.…”
Section: Introductionmentioning
confidence: 96%
“…[13,14]. Very recently, a general approach for checking separability is taken by considering the linear correlations of specific operators in Refs [15,16], which incidentally covers both the CCNR and the ESIC criteria.…”
Section: Introductionmentioning
confidence: 99%
“…These were recently generalized in Refs. 13 , 14 . Another interesting class of indecomposable witnesses is constructed in terms of mutually unbiased bases 15 20 .…”
Section: Introductionmentioning
confidence: 99%