The existence of incompatible observables is a cornerstone of quantum mechanics and a valuable resource in quantum technologies. Here we introduce a measure of incompatibility, called the mutual eigenspace disturbance (MED), which quantifies the amount of disturbance induced by the measurement of a sharp observable on the eigenspaces of another. The MED provides a metric on the space of von Neumann measurements, and can be efficiently estimated by letting the measurement processes act in an indefinite order, using a setup known as the quantum switch, which also allows one to quantify the noncommutativity of arbitrary quantum processes. Thanks to these features, the MED can be used in quantum machine learning tasks. We demonstrate this application by providing an unsupervised algorithm that clusters unknown von Neumann measurements. Our algorithm is robust to noise can be used to identify groups of observers that share approximately the same measurement context.
翻译:不相容的可观测物的存在是量子力学的基石,也是量子技术的宝贵资源。在这里,我们引入了一种不相容的量子力学测量,称为相互的天体扰动(MED),它量化了测量在另一个人脑空间上锐可见的量子力学所引发的扰动量。MED提供了一个关于冯纽曼测量空间的测量尺度,并且可以通过让测量过程无限期地运行,使用量子开关来有效估算,这个设置也允许人们量化任意量子过程的非互不兼容性。由于这些特征,MED可用于量子机学习任务。我们通过提供非监督的算法,即未知的冯纽曼测量测量数据组,来证明这一应用。我们的算法对噪音的强大程度可以用来识别与测量环境大致相同的观察者群体。