activity
20032026
most citedTighter monogamy relations in multipartite systems

75 citations · 194 across the 18 of their papers we have counts for

collaborators

18 papers

quant-ph2026

Monogamy inequalities of entanglement of assistance in systems

Xue-Na Zhu, Gui Bao, Zhi-Xiang Jin +2

The monogamy relations characterize the distribution of quantum correlations among the multipartite quantum systems. We study the monogamy relations of the entanglement of assistan…

quant-ph2025

Quantifying nonclassical correlations relative to local channels

Cong Xu, Tao Li, Ruonan Ren +2

Nonclassical correlations are significant physical resources with extensive applications in quantum information processing. We introduce the modified Wigner-Yanase-Dyson skew infor…

quant-ph2025★ 4 cited

Tightening the entropic uncertainty relations with quantum memory in a multipartite scenario

Cong Xu, Qing-Hua Zhang, Tao Li +1

The quantum uncertainty principle stands as a cornerstone and a distinctive feature of quantum mechanics, setting it apart from classical mechanics. We introduce a tripartite quant…

math.GR2023

On recognition of the direct squares of the simple groups with abelian Sylow 2-subgroups

Tao Li, A. R. Moghaddamfar, Andrey V. Vasil'ev +1

The spectrum of a group is the set of orders of its elements. Finite groups with the same spectra as the direct squares of the finite simple groups with abelian Sylow 2-subgroups a…

quant-ph2020★ 11 cited

Entanglement Witnesses Based on Symmetric Informationally Complete Measurements

Tao Li, Le-Min Lai, Deng-Feng Liang +2

We study entanglement witness and present a construction of entanglement witnesses in terms of the symmetric informationally complete measurements (SIC-POVM). The capability of our…

quant-ph2020★ 6 cited

Detecting EPR steering via two classes of local measurements

Le-Min Lai, Tao Li, Shao-Ming Fei +1

We study the Einstein-Podolsky-Rosen (EPR) steering and present steerability criteria for arbitrary qubit-qudit (qudit-qubit) systems based on mutually unbiased measurements (MUMs)…