Nash均衡量子态与最优量子数据分类
Nash equilibrium quantum states and optimal quantum data classification
摘要：
这封信报告了一个新的应用博弈论的量子信息过程，可以用来最佳地分类这些过程中产生的数据。为此，同时区分一个纯量子态的概念，产生的量子信息过程，从其组成的可观察状态最优-给定的约束，这些可观察的是相互正交的，首先介绍。这个问题是通过一个非合作博弈模型和纳什均衡的附属解决方案的概念来解决的。引入了纳什均衡量子态的概念，并将其用于量子数据的最优分类。
英文摘要：
This letter reports a novel application of game theory to quantum informational processes which can be used to optimally classify data generated by these processes. To this end, the notion of simultaneously distinguishing a pure quantum state, generated by a quantum informational process, from its constituent observable states optimally - given the constraint of these observables being orthogonal to each other, is first introduced. This problem is solved via a non-cooperative game model and the affiliated solution concept of Nash equilibrium. The notion of Nash equilibrium quantum states is introduced and used to classify quantum data optimally.
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。
