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Quantum state representation based on combinatorial Laplacian matrix of star-relevant graph

机译:基于星相关图的组合拉普拉斯矩阵的量子态表示

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In this paper the density matrices derived from combinatorial Laplacian matrix of graphs is considered. More specifically, the paper places emphasis on the star-relevant graph, which means adding certain edges on peripheral vertices of star graph. Initially, we provide the spectrum of the density matrices corresponding to star-like graph (i.e., adding an edge on star graph) and present that the Von Neumann entropy increases under the graph operation (adding an edge on star graph) and the graph operation cannot be simulated by local operation and classical communication (LOCC). Subsequently, we illustrate the spectrum of density matrices corresponding to star-alike graph (i.e., adding one edge on star-like graph) and exhibit that the Von Neumann entropy increases under the graph operation (adding an edge on star-like graph) and the graph operation cannot be simulated by LOCC. Finally, the spectrum of density matrices corresponding to star-mlike graph (i.e., adding m nonadjacent edges on the peripheral vertices of star graph) is demonstrated and the relation between the graph operation and Von Neumann entropy, LOCC is revealed in this paper.
机译:在本文中,考虑了从图的组合拉普拉斯矩阵导出的密度矩阵。更具体地说,本文着重于与星形相关的图,这意味着在星形图的外围顶点上添加某些边。最初,我们提供与星形图相对应的密度矩阵的谱(即在星形图上添加边),并提出在图操作(在星形图上添加边)和图操作下,冯·诺伊曼熵增加无法通过本地操作和经典通信(LOCC)进行模拟。随后,我们说明了与星形图相对应的密度矩阵的谱(即,在星形图上添加一个边),并证明了在图操作(在星形图上添加一个边)时冯·诺伊曼熵增加了, LOCC无法模拟图形操作。最后,证明了对应于星形m型图的密度矩阵谱(即在星形图的外围顶点上添加m个不相邻的边),并揭示了图操作与冯·诺依曼熵,LOCC之间的关系。

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