论文标题
量子随机步行模型用于量子状态歧视
Quantum Stochastic Walk Models for Quantum State Discrimination
论文作者
论文摘要
量子随机步行（QSW）可以通过描述网络上开放量子系统的动态演化来对量子和经典随机步行进行概括，而节点对应于固定基础的量子状态。我们考虑在这种系统上量子状态歧视的问题，并通过优化网络拓扑权重来解决它。最后，我们在不同的量子网络拓扑上进行测试，并将其与最佳理论界限进行比较。
Quantum Stochastic Walks (QSW) allow for a generalization of both quantum and classical random walks by describing the dynamic evolution of an open quantum system on a network, with nodes corresponding to quantum states of a fixed basis. We consider the problem of quantum state discrimination on such a system, and we solve it by optimizing the network topology weights. Finally, we test it on different quantum network topologies and compare it with optimal theoretical bounds.
