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arXiv 1109.0104cond-mat.stat-mech
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二维经典自旋组态的纠缠熵和纠缠谱

Entanglement Entropy and Entanglement Spectrum for Two-Dimensional Classical Spin Configuration

Hiroaki Matsueda

摘要:

在临界态的量子自旋链中,纠缠熵的标度存在两种:一种来自于共形场论(CFT),另一种是矩阵乘积态(MPS)近似的纠缠支持。它们表明MPS的矩阵维数代表了自旋关联的长度尺度。另一方面,量子自旋链模型可以映射到二维(2D)经典模型。受标度和映射的启发,我们引入了二维经典自旋组态的新的纠缠熵和纠缠谱,并在正方格子上的Ising和三态Potts模型中考察了它们的基本性质.它们由Monte Carlo快照的约化密度矩阵的奇异值定义。我们在$T_{c}$的快照中发现了与长度尺度有关的缩放关系。在那里,自旋配置是分形的,各种大小的有序团簇共存。然后,奇异值自动分解成一组具有不同长度尺度的图像的原始快照。这就是缩放的起源。与MPS标度相反,长程自旋关联可以用很少的奇异值来描述。此外,我们发现在纠缠谱中存在多个能隙,与标准的拓扑相位相反,能隙以下的低纠缠能级代表自发对称性破缺。基于这些观察,我们讨论的信息量包含在一个快照的CFT缩放的观点。

英文摘要:

In quantum spin chains at criticality, two types of scaling for the entanglement entropy exist: one comes from conformal field theory (CFT), and the other is for entanglement support of matrix product state (MPS) approximation. They indicates that the matrix dimension of the MPS represents a length scale of spin correlation. On the other hand, the quantum spin-chain models can be mapped onto two-dimensional (2D) classical ones. Motivated by the scaling and the mapping, we introduce new entanglement entropy for 2D classical spin configuration as well as entanglement spectrum, and examine their basic properties in Ising and 3-state Potts models on the square lattice. They are defined by the singular values of the reduced density matrix for a Monte Carlo snapshot. We find scaling relations concerned with length scales in the snapshot at $T_{c}$. There, the spin configuration is fractal, and various sizes of ordered clusters coexist. Then, the singular values automatically decompose the original snapshot into a set of images with different length scale. This is the origin of the scaling. In contrast to the MPS scaling, long-range spin correlation can be described by only few singular values. Furthermore, we find multiple gaps in the entanglement spectrum, and in contrast to standard topological phases, the low-lying entanglement levels below the gap represent spontaneous symmetry breaking. Based on these observations, we discuss about the amount of information contained in one snapshot in a viewpoint of the CFT scaling.

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