论文标题
纠缠证人仍然有说服力的困惑
How confused can an entanglement witness be to be still persuasive
论文作者
论文摘要
检测纠缠状态在基本和应用量子物理学中都是必不可少的。但是，这项任务被证明是具有挑战性的，尤其是对于一般量子状态。可以执行完整的状态断层扫描，但是这种方法是在需要的时间，尤其是在复杂的系统中。其他方法使用纠缠证人，这些方法的要求较小，但缺乏可靠性。在这里，我们证明了ANN-人工神经网络在两种方法之间都提供了平衡。在本文中，我们将ANN的绩效与基于证人的方法进行比较，用于随机的一般2 Quit量子状态，而没有任何有关状态的任何事先信息。此外，我们将方法应用于真实的实验数据集。
Detection of entangled states is essential in both fundamental and applied quantum physics. However, this task proves to be challenging especially for general quantum states. One can execute full state tomography but this method is time demanding especially in complex systems. Other approaches use entanglement witnesses, these methods tend to be less demanding but lack reliability. Here, we demonstrate that ANN -- artificial neural networks provide a balance between both approaches. In this paper, we make a comparison of ANN performance against witness-based methods for random general 2-qubit quantum states without any prior information on the states. Furthermore, we apply our approach to real experimental data set.
