Abramsky Samson, Barbosa Rui Soares, Mansfield Shane
Department of Computer Science, University of Oxford, Wolfson Building, Parks Road, Oxford OX1 3QD, United Kingdom.
School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh EH8 9AB, United Kingdom.
Phys Rev Lett. 2017 Aug 4;119(5):050504. doi: 10.1103/PhysRevLett.119.050504.
We consider the contextual fraction as a quantitative measure of contextuality of empirical models, i.e., tables of probabilities of measurement outcomes in an experimental scenario. It provides a general way to compare the degree of contextuality across measurement scenarios; it bears a precise relationship to violations of Bell inequalities; its value, and a witnessing inequality, can be computed using linear programing; it is monotonic with respect to the "free" operations of a resource theory for contextuality; and it measures quantifiable advantages in informatic tasks, such as games and a form of measurement-based quantum computing.
我们将情境分数视为经验模型情境性的一种定量度量,即实验场景中测量结果概率表。它提供了一种比较不同测量场景情境性程度的通用方法;它与违反贝尔不等式有着精确的关系;其值以及一个见证不等式可通过线性规划计算得出;它相对于情境性资源理论的“自由”操作是单调的;并且它能衡量信息任务(如游戏和一种基于测量的量子计算形式)中的可量化优势。