activity
20182026
most citedGenuinely nonlocal sets with smallest cardinality

2 citations · 2 across the 5 of their papers we have counts for

collaborators

7 papers

quant-ph2026

Inclusion-Minimal local indistinguishability: a weak form of nonlocality

Mao-Sheng Li, Zong-Xing Xiong, Zhu-Jun Zheng +1

Local discrimination of quantum states is a fundamental task in distributed quantum information processing and underlies applications such as quantum communication, data hiding, an…

cs.ET2026

On the completeness of transformation rules in reversible logic synthesis

Shiguang Feng, Zongxing Xiong, Lvzhou Li

Transformation rules play a central role in reversible circuit optimization, template-based rewriting, and equivalence checking, and establishing their completeness is a fundamenta…

quant-ph2024★ 2 cited

Genuinely nonlocal sets with smallest cardinality

Zong-Xing Xiong, Mao-Sheng Li, Bing Yu +2

Recently, there is growing interest in the study of genuine nonlocality, which serves to explore the local accessability of global information encoded in orthogonal multipartite qu…

quant-ph2023

Small sets of genuinely nonlocal GHZ states in multipartite systems

Zong-Xing Xiong, Yongli Zhang, Mao-Sheng Li +1

A set of orthogonal multipartite quantum states are called (distinguishability-based) genuinely nonlocal if they are locally indistinguishable across any bipartition of the subsyst…

quant-ph2022

Distinguishability-based genuine nonlocality with genuine multipartite entanglement

Zong-Xing Xiong, Mao-Sheng Li, Zhu-Jun Zheng +1

A set of orthogonal multipartite quantum states is said to be distinguishability-based genuinely nonlocal (also genuinely nonlocal, for abbreviation) if the states are locally indi…

quant-ph2019

Twist-teleportation based local discrimination of maximally entangled states

Mao-Sheng Li, Shao-Ming Fei, Zong-Xing Xiong +1

In this work, we study the local distinguishability of maximally entangled states (MESs). In particular, we are concerned with whether any fixed number of MESs can be locally disti…