Quantum Hypothesis Testing Mutual Information
-
摘要: von Neumann互信息是Shannon互信息在量子信息中的推广，在量子信道容量中有非常好的应用.由于量子态的非对易性，许多经典信息论中的量化在量子信息中有完全不等价的推广定义.量子假设检验相对熵来自于假设检验问题，是量子信息处理中常用的基本量化之一.使用量子假设检验相对熵讨论量子互信息. 首先讨论量子假设检验相对熵的一些基本性质，并给出该量化和其他量子广义熵之间的关系. 然后结合相对熵的性质，给出量子假设检验互信息的定义，并讨论其性质，比如：数据处理不等式.通过互信息与条件熵之和重点讨论互信息的链式法则.Abstract: von Neumann mutual information is a generalization of Shannon mutual information in quantum information theory, and it has been found to have useful applications in the channel capacity. The many classical quantifiers can be extended for pairs of quantum states in various inequivalent ways, due to the non-commutativity of quantum states. Quantum hypothesis testing relative entropy comes from the hypothesis testing question, and it is one of the most fundamental primitives in quantum information processing. We discuss the quantum mutual information with respect to quantum hypothesis testing relative entropy. We give some properties of quantum hypothesis testing relative entropy, and give the relationships between it and other quantum generalized entropies. Using relative entropy, we define quantum hypothesis testing mutual information, and exhibit some properties, such as, data processing inequality. Using the sum between mutual information and condition entropy, we discuss the chain rules, which are generally an important technical tool in information theory.
-
-
期刊类型引用(3)
1. 孙颖，丁卫平，黄嘉爽，鞠恒荣，李铭，耿宇. RCAR-UNet：基于粗糙通道注意力机制的视网膜血管分割网络. 计算机研究与发展. 2023(04): 947-961 . 
本站查看
2. 张创邦，王青海. 直觉模糊知识粒的分解与合成研究. 计算机与数字工程. 2022(02): 270-275+299 . 百度学术
3. 朱国成. 基于概率语言术语集中考虑专家权重的决策方法研究. 曲阜师范大学学报(自然科学版). 2021(04): 72-80 . 百度学术
其他类型引用(3)
计量
- 文章访问数: 496
- HTML全文浏览量: 7
- PDF下载量: 172
- 被引次数: 6
下载:
