arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1401.7355cond-mat.str-elquant-ph
收藏

从投影系统的单纠缠测度中提取拓扑熵

Distilling topological entropy from single entanglement measures on projected systems

Claudio Castelnovo

摘要:

纠缠测度在拓扑有序系统的研究中有着广泛的应用,拓扑有序的存在反映了对系统纠缠的额外贡献。从分析计算或数值模拟中获得这种拓扑熵通常是困难的,因为它是对与系统大小成比例的主导项的一阶校正。为了计算拓扑熵,我们可以采用外推法作为系统大小的函数,或者采用巧妙的减法方案来抵消前导项。这两种方法的缺点是需要多次(精确)计算系统的纠缠。在这里,我们提出了一个修改传统的纠缠计算,允许获得一个系统的拓扑熵从一个单一的测量纠缠。在我们的方法中,我们取代了传统的跟踪系统的分区的自由度的投影到一个给定的状态(这不需要知道)。我们表明,适当的选择分区和投影测量允许摆脱典型的边界项的纠缠措施,从而暴露的拓扑贡献。我们特别考虑被称为冯诺伊曼熵和纠缠负性的措施,我们讨论了它们的应用,表现出量子以及经典的拓扑秩序的模型。

英文摘要:

Entanglement measures find frequent application in the study of topologically ordered systems, where the presence of topological order is reflected in an additional contribution to the entanglement of the system. Obtaining this topological entropy from analytical calculations or numerical simulations is generally difficult due to the fact that it is an order one correction to leading terms that scale with the size of the system. In order to distil the topological entropy, one resorts to extrapolation as a function of system size, or to clever subtraction schemes that allow to cancel out the leading terms. Both approaches have the disadvantage of requiring multiple (accurate) calculations of the entanglement of the system. Here we propose a modification of conventional entanglement calculations that allows to obtain the topological entropy of a system from a single measurement of entanglement. In our approach, we replace the conventional trace over the degrees of freedom of a partition of the system with a projection onto a given state (which needs not be known). We show that a proper choice of partition and projective measurement allows to rid the entanglement measures of the typical boundary terms, thus exposing the topological contribution alone. We consider specifically the measures known as von Neumann entropy and entanglement negativity, and we discuss their application to both models that exhibit quantum as well as classical topological order.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑