Quantum Reverse Shannon Theorem Simplified
By: Gilad Gour
Potential Business Impact:
Makes quantum computers share information more easily.
We revisit the quantum reverse Shannon theorem, a central result in quantum information theory that characterizes the resources needed to simulate quantum channels when entanglement is freely available. We derive a universal additive upper bound on the smoothed max-information in terms of the sandwiched R\'enyi mutual information. This bound yields tighter single-shot results, eliminates the need for the post-selection technique, and leads to a conceptually simpler proof of the quantum reverse Shannon theorem. By consolidating and streamlining earlier approaches, our result provides a clearer and more direct understanding of the resource costs of simulating quantum channels.
Similar Papers
Quantum Reverse Shannon Theorem Revisited
Quantum Physics
Unifies two ways to send secret messages reliably.
Quantum accessible information and classical entropy inequalities
Quantum Physics
Improves how computers understand quantum information.
Computational Relative Entropy
Quantum Physics
Makes computers understand information better with limits.