A minimax approach to one-shot entropy inequalities
arXiv:1906.00333 · doi:10.1063/1.5126723
Abstract
One-shot information theory entertains a plethora of entropic quantities, such as the smooth max-divergence, hypothesis testing divergence and information spectrum divergence, that characterize various operational tasks and are used to prove the asymptotic behavior of various tasks in quantum information theory. Tight inequalities between these quantities are thus of immediate interest. In this note we use a minimax approach (appearing previously for example in the proofs of the quantum substate theorem), to simplify the quantum problem to a commutative one, which allows us to derive such inequalities. Our derivations are conceptually different from previous arguments and in some cases lead to tighter relations. We hope that the approach discussed here can lead to progress in open problems in quantum Shannon theory, and exemplify this by applying it to a simple case of the joint smoothing problem.
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- One-Shot Yield-Cost Relations in General Quantum Resource Theories
- A solution of the generalised quantum Stein's lemma
- Moderate deviation expansion for fully quantum tasks
- Fidelity-Based Smooth Min-Relative Entropy: Properties and Applications
- Thermodynamic Implementations of Quantum Processes
- Parallelization of Adaptive Quantum Channel Discrimination in the Non-Asymptotic Regime
- Asymptotic quantification of entanglement with a single copy
- Asymptotic Equipartition Theorems in von Neumann algebras
- Tight relations and equivalences between smooth relative entropies