Smooth Renyi Entropies and the Quantum Information Spectrum
arXiv:0801.0282 · doi:10.1109/TIT.2009.2018340
Abstract
Many of the traditional results in information theory, such as the channel coding theorem or the source coding theorem, are restricted to scenarios where the underlying resources are independent and identically distributed (i.i.d.) over a large number of uses. To overcome this limitation, two different techniques, the information spectrum method and the smooth entropy framework, have been developed independently. They are based on new entropy measures, called spectral entropy rates and smooth entropies, respectively, that generalize Shannon entropy (in the classical case) and von Neumann entropy (in the more general quantum case). Here, we show that the two techniques are closely related. More precisely, the spectral entropy rate can be seen as the asymptotic limit of the smooth entropy. Our results apply to the quantum setting and thus include the classical setting as a special case.
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- Duality Between Smooth Min- and Max-Entropies
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- Single-shot Quantum State Merging
- One-Shot Classical Data Compression with Quantum Side Information and the Distillation of Common Randomness or Secret Keys
- Optimal quantum networks and one-shot entropies
- Smooth Max-Information as One-Shot Generalization for Mutual Information
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- A smooth entropy approach to quantum hypothesis testing and the classical capacity of quantum channels
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- Min- and Max-Entropy in Infinite Dimensions
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- Relative Thermalization
- Equivalence of Statistical Mechanical Ensembles for Non-Critical Quantum Systems
- Multiparty Quantum Mutual Information: An alternative definition
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- Entanglement Theory and the Quantum Simulation of Many-Body Physics
- Macroscopic Thermodynamic Reversibility in Quantum Many-Body Systems
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- Quantum reading capacity: General definition and bounds
- A solution of the generalised quantum Stein's lemma
- Towards Quantum Cybernetics
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