Entanglement transitions from holographic random tensor networks
Entanglement transitions from holographic random tensor networks
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DOI：
10.1103/physrevb.100.134203
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发表时间：
2018-07
影响因子：
3.7
通讯作者：
R. Vasseur;A. Potter;Yi-Zhuang You;A. Ludwig
中科院分区：
文献类型：
--
作者：
R. Vasseur;A. Potter;Yi-Zhuang You;A. Ludwig
量子态纠缠模式的普遍特征为复杂的量子多体相和动力学提供了有价值的信息理论见解。这项工作揭示了一类新的弱纠缠和强纠缠量子态之间的相变，在随机张量网络的边界全息描述。通过精确映射到经典自旋模型上，探索了这些跃迁的普适标度结构，这也为研究这些复杂量子现象的有效数值方法打开了大门。
Universal features in patterns of entanglement of quantum states provide valuable information-theoretical insights into complex quantum many-body phases and dynamics. This work uncovers a novel class of phase transition between weakly- and strongly- entangled quantum states, described holographically at the boundary of a random tensor network. The univeral scaling structure of these transitions is explored via an exact mapping onto a classical spin model, which also opens the door to efficient numerical methods to study these complex quantum phenomena.