Bounds on Multipartite Concurrence and Tangle
Jing Wang, Ming Li, Hongfang Li, Shao-Ming Fei, and Xianqing Li-Jost

TL;DR
This paper derives analytical bounds on multipartite concurrence and tangle, providing practical entanglement detection methods based on correlation tensors, with implications for quantum information processing.
Contribution
It introduces a new analytical lower bound for multipartite concurrence using generalized Bloch representations, enhancing entanglement detection.
Findings
Lower bound effectively witnesses genuine multipartite entanglement
Tight bounds for multipartite tangles are established
Bounds depend on partial correlation tensors, enabling experimental feasibility
Abstract
We present an analytical lower bound of multipartite concurrence based on the generalized Bloch representations of density matrices. It is shown that the lower bound can be used as an effective entanglement witness of genuine multipartite entanglement. Tight lower and upper bounds for multipartite tangles are also derived. Since the lower bounds depend on just part of the correlation tensors, the result is experimentally feasible.
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