Pretty good measures in quantum information theory
arXiv:1608.08229 · doi:10.1109/TIT.2016.2639521
Abstract
Quantum generalizations of Renyi's entropies are a useful tool to describe a variety of operational tasks in quantum information processing. Two families of such generalizations turn out to be particularly useful: the Petz quantum Renyi divergence and the minimal quantum Renyi divergence . In this paper, we prove a reverse Araki-Lieb-Thirring inequality that implies a new relation between these two families of divergences, namely that for and where and are density operators. This bound suggests defining a "pretty good fidelity", whose relation to the usual fidelity implies the known relations between the optimal and pretty good measurement as well as the optimal and pretty good singlet fraction. We also find a new necessary and sufficient condition for optimality of the pretty good measurement and singlet fraction.
15.1 pages; v2: 16 pages, accepted for publication in IEEE Transactions on Information Theory
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Cited by in corpus (12)
- Amortized Channel Divergence for Asymptotic Quantum Channel Discrimination
- Principles of Quantum Communication Theory: A Modern Approach
- Test-measured Rényi divergences
- Strong converse bounds in quantum network information theory: distributed hypothesis testing and source coding
- Optimality Condition for the Petz Map
- Better bounds on optimal measurement and entanglement recovery, with applications to uncertainty and monogamy relations
- Quantifying the unextendibility of entanglement
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- Quantum Chernoff divergence in advantage distillation for quantum key distribution and device-independent quantum key distribution
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