Data Processing for Quantum Relative Entropy - Lecture 3

Explore quantum information theory fundamentals in this lecture from École Normale Supérieure de Lyon professor Omar Fawzi, focusing on data processing for quantum relative entropy. Building on Shannon's 1948 foundations of information theory, examine the mathematical frameworks for studying quantum information storage and transmission, particularly in the presence of quantum noise. Learn about state discrimination, quantum channels, and quantum entropy measures while investigating the quantum analogues to Shannon's noisy channel coding theorem. Part of a comprehensive quantum computation program at the Park City Mathematics Institute, this lecture includes accompanying notes and problem sets to reinforce understanding of these advanced quantum information concepts.