Generalized Entropies
arXiv:1211.3141 · doi:10.1142/9789814449243_0008
Abstract
We study an entropy measure for quantum systems that generalizes the von Neumann entropy as well as its classical counterpart, the Gibbs or Shannon entropy. The entropy measure is based on hypothesis testing and has an elegant formulation as a semidefinite program, a type of convex optimization. After establishing a few basic properties, we prove upper and lower bounds in terms of the smooth entropies, a family of entropy measures that is used to characterize a wide range of operational quantities. From the formulation as a semidefinite program, we also prove a result on decomposition of hypothesis tests, which leads to a chain rule for the entropy.
21 pages
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- Coherence and entanglement measures based on Rényi relative entropies
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- Fidelity-Based Smooth Min-Relative Entropy: Properties and Applications
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- Communication Complexity of One-Shot Remote State Preparation
- On privacy amplification, lossy compression, and their duality to channel coding
- Lower Bounds for Quantum Parameter Estimation
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- Fixed Error Asymptotics For Erasure and List Decoding
- Towards Optimal Quantum Ranging -- Hypothesis Testing for an Unknown Return Signal
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