Some Quantum Information Inequalities from a Quantum Bayesian Networks Perspective

TL;DR

This paper explores quantum information inequalities through the lens of quantum Bayesian networks, highlighting their pedagogical value and potential benefits for understanding quantum Shannon Information Theory.

Contribution

It introduces a quantum Bayesian networks perspective to analyze well-known quantum information inequalities, offering new insights and pedagogical advantages.

Findings

Quantum Bayesian networks provide a useful framework for understanding quantum information inequalities.

The approach offers pedagogical benefits for teaching quantum Shannon Information Theory.

The paper demonstrates the applicability of quantum Bayesian networks to classical inequalities in quantum contexts.

Abstract

This is primarily a pedagogical paper. The paper re-visits some well-known quantum information theory inequalities. It does this from a quantum Bayesian networks perspective. The paper illustrates some of the benefits of using quantum Bayesian networks to discuss quantum SIT (Shannon Information Theory).