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The laplacian of a graph as a density matrix: a basic combinatorial approach to separability of mixed states

机译:作为密度矩阵的图的拉普拉斯:基本组合   混合状态可分离性的方法

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摘要

We study entanglement properties of mixed density matrices obtained fromcombinatorial Laplacians. This is done by introducing the notion of the densitymatrix of a graph. We characterize the graphs with pure density matrices andshow that the density matrix of a graph can be always written as a uniformmixture of pure density matrices of graphs. We consider the von Neumann entropyof these matrices and we characterize the graphs for which the minimum andmaximum values are attained. We then discuss the problem of separability bypointing out that separability of density matrices of graphs does not alwaysdepend on the labelling of the vertices. We consider graphs with a tensorproduct structure and simple cases for which combinatorial properties arelinked to the entanglement of the state. We calculate the concurrence of allgraph on four vertices representing entangled states. It turns out that forsome of these graphs the value of the concurrence is exactly fractional.
机译:我们研究了从组合拉普拉斯算子获得的混合密度矩阵的纠缠特性。这是通过引入图的密度矩阵的概念来完成的。我们用纯密度矩阵表征图,并表明图的密度矩阵总是可以写成图的纯密度矩阵的均匀混合。我们考虑了这些矩阵的冯·诺依曼熵,并刻画了获得最小和最大值的图。然后,我们指出图的密度矩阵的可分离性并不总是取决于顶点的标注,从而讨论了可分离性的问题。我们考虑具有张量积结构的图,以及将组合属性与状态的纠缠联系起来的简单情况。我们在表示纠缠态的四个顶点上计算allgraph的并发性。事实证明,对于这些图中的某些,并发值恰好是分数。

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