Condition on the Rényi entanglement entropy under stochastic local manipulation
File(s)arXiv_Submission.pdf (1.56 MB)
Accepted version
Author(s)
Kwon, Hyukjoon
Paige, AJ
Kim, MS
Type
Journal Article
Abstract
The Rényi entanglement entropy (REE) is an entanglement quantifier considered as a natural generalization of the entanglement entropy. When it comes to stochastic local operations and classical communication (SLOCC), however, only a limited class of the REEs satisfy the monotonicity condition, while their statistical properties beyond mean values have not been fully investigated. Here, we establish a general condition that the probability distribution of the REE of any order obeys under SLOCC. The condition is obtained by introducing a family of entanglement monotones that contain the higher-order moments of the REEs. The contribution from the higher-order moments imposes a strict limitation on entanglement distillation via SLOCC. We find that the upper bound on success probabilities for entanglement distillation exponentially decreases as the amount of raised entanglement increases, which cannot be captured from the monotonicity of the REE. Based on the strong restriction on entanglement transformation under SLOCC, we design a new method to estimate entanglement in quantum many-body systems from experimentally observable quantities.
Date Issued
2020-08-31
Date Acceptance
2020-08-01
Citation
Physical Review Letters, 2020, 125 (10), pp.100502 – 1-100502 – 7
ISSN
0031-9007
Publisher
American Physical Society (APS)
Start Page
100502 – 1
End Page
100502 – 7
Journal / Book Title
Physical Review Letters
Volume
125
Issue
10
Copyright Statement
© 2020 American Physical Society
Sponsor
The Royal Society
Samsung Electronics Co. Ltd
Korea Institute of Science and Technology
Identifier
https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.125.100502
Grant Number
WM140063
N/A
PHQL_P81550
Subjects
01 Mathematical Sciences
02 Physical Sciences
09 Engineering
General Physics
Publication Status
Published online
Article Number
100502
Date Publish Online
2020-08-31