The entropy of quantum causal networks
Xian Shi, Lin Chen

TL;DR
This paper explores the entropy properties of quantum causal networks, introducing bounds and measures to quantify their information-theoretic aspects in quantum information theory.
Contribution
It presents a revised smooth max-relative entropy for quantum combs, bounds on hypothesis testing errors, and a new measure for quantum operator performance.
Findings
Established bounds on type II error in quantum hypothesis testing
Derived a lower bound for smooth max-relative entropy in asymptotic regimes
Proposed a new metric for quantifying quantum operator performance
Abstract
Quantum networks play a key role in many scenarios of quantum information theory. Here we consider the quantum causal networks in the manner of entropy. First we present a revised smooth max-relative entropy of quantum combs, then we present a lower and upper bound of a type II error of the hypothesis testing. Next we present a lower bound of the smooth max-relative entropy for the quantum combs with asymptotic equipartition. At last, we consider the score to quantify the performance of an operator. We present a quantity equaling to the smooth asymptotic version of the performance of a quantum positive operator.
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Taxonomy
TopicsQuantum Information and Cryptography · Quantum Mechanics and Applications · Quantum Computing Algorithms and Architecture
