论文标题
图形状态和纠缠的噪音稳健性的短片分布
Shor-Laflamme distributions of graph states and noise robustness of entanglement
论文作者
论文摘要
量子状态的Shor-laflamme分布(SLD)是量化$ k $ body相关性的本地统一不变的集合。我们表明,可以通过解决图理论问题来得出图形状态的SLD。这样,SLD的平均值和方差就可以作为有效计算的图形属性的简单函数。此外,这种公式使我们能够为某些图状态家族得出SLD的封闭表达式。对于群集状态,我们观察到SLD与二项式分布非常相似,我们认为该属性通常对于图形状态而言是典型的。最后,我们从纯度标准中得出了基于SLD的纠缠标准,并将其应用于有意义的噪声阈值以进行纠缠。我们的新纠缠标准易于使用,也适用于高维Qudits的情况。在更广阔的情况下,我们的结果促进了对量子误差校正代码的理解,其中密切相关的laflamme分布概念起着重要作用,并且对量子状态的几何形状起着重要作用,其中shor-laflamme分布称为扇形长度分布。
The Shor-Laflamme distribution (SLD) of a quantum state is a collection of local unitary invariants that quantify $k$-body correlations. We show that the SLD of graph states can be derived by solving a graph-theoretical problem. In this way, the mean and variance of the SLD are obtained as simple functions of efficiently computable graph properties. Furthermore, this formulation enables us to derive closed expressions of SLDs for some graph state families. For cluster states, we observe that the SLD is very similar to a binomial distribution, and we argue that this property is typical for graph states in general. Finally, we derive an SLD-based entanglement criterion from the purity criterion and apply it to derive meaningful noise thresholds for entanglement. Our new entanglement criterion is easy to use and also applies to the case of higher-dimensional qudits. In the bigger picture, our results foster the understanding both of quantum error-correcting codes, where a closely related notion of Shor-Laflamme distributions plays an important role, and of the geometry of quantum states, where Shor-Laflamme distributions are known as sector length distributions.