English

Pretty good measures in quantum information theory

Quantum Physics 2017-01-25 v2 Mathematical Physics math.MP

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 Dˉα\bar{D}_{\alpha} and the minimal quantum Renyi divergence D~α\tilde{D}_{\alpha}. In this paper, we prove a reverse Araki-Lieb-Thirring inequality that implies a new relation between these two families of divergences, namely that αDˉα(ρσ)D~α(ρσ)\alpha \bar{D}_{\alpha}(\rho \| \sigma) \leq \tilde{D}_{\alpha}(\rho \| \sigma) for α[0,1]\alpha \in [0,1] and where ρ\rho and σ\sigma 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.

Keywords

Cite

@article{arxiv.1608.08229,
  title  = {Pretty good measures in quantum information theory},
  author = {Raban Iten and Joseph M. Renes and David Sutter},
  journal= {arXiv preprint arXiv:1608.08229},
  year   = {2017}
}

Comments

15.1 pages; v2: 16 pages, accepted for publication in IEEE Transactions on Information Theory

R2 v1 2026-06-22T15:34:19.682Z