Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

arXiv:1408.6897 · Quantum Information Processing

Investigating properties of a family of quantum Rényi divergences

Mingyan Simon Lin, Marco Tomamichel

Published Feb 2, 2015• 33 citations
arXivHTMLPDF
DOI
10.1007/s11128-015-0935-y

Related papers

Quantum Rényi Divergence

Marco Tomamichel

SpringerBriefs in mathematical physics•Oct 8, 2015•1 citation

The $\alpha \to 1$ Limit of the Sharp Quantum Rényi Divergence

Bjarne Bergh, Robert Salzmann, Nilanjana Datta

•Feb 1, 2021•0 citations

Reliability Functions of Quantum Soft Covering and Privacy Amplification via a Mixed-Order Rényi Divergence

Shi-Bing Li, Hongsen Qiu, Xinyu Zhang

In this paper, we introduce a novel mixed-order Rényi divergence and investigate its fundamental properties. Using this divergence, we define a family of mixed-order order-two Rényi mutual information and Rényi conditional entropy. We derive exact reliability functions of quantum soft covering and privacy amplification under the sandwiched Rényi divergence with order $α\in[2,\infty)$. The former is jointly characterized by the sandwiched and mixed-order order-two Rényi mutual information quantities, while the latter is characterized by the corresponding conditional entropies. These results provide operational interpretations of the proposed mixed-order Rényi divergence. To the best of our knowledge, this is the first exact characterization of the reliability function for quantum soft covering.

quant-pharXiv:2607.27015•Jul 30, 2026•0 citations

The α → 1 limit of the sharp quantum Rényi divergence

Bjarne Bergh, Robert Salzmann, Nilanjana Datta

Fawzi and Fawzi [Quantum 5, 387 (2021)] recently defined the sharp Rényi divergence, Dα#, for α ∈ (1, ∞), as an additional quantum Rényi divergence with nice mathematical properties and applications in quantum channel discrimination and quantum communication. One of their open questions was the limit α → 1 of this divergence. By finding a new expression of the sharp divergence in terms of a minimization of the geometric Rényi divergence, we show that this limit is equal to the Belavkin–Staszewski relative entropy. Analogous minimizations of arbitrary generalized divergences lead to a new family of generalized divergences that we call kringel divergences for which we prove various properties, including the data-processing inequality.

arXiv:2102.06576•Journal of Mathematical Physics•Sep 1, 2021•3 citations

Quantum Rényi and f-Divergences from Integral Representations

Christoph Hirche, Marco Tomamichel

arXiv:2306.12343•Communications in Mathematical Physics•Aug 20, 2024•25 citations

On quantum Renyi entropies: a new definition and some properties.

Martin Müller-Lennert, Frédéric Dupuis, Oleg Szehr +2 more

•Jun 13, 2013•26 citations
The α→1\alpha \to 1α→1 Limit of the Sharp Quantum Rényi Divergence
In this paper, we introduce a novel mixed-order Rényi divergence and investigate its fundamental properties. Using this divergence, we define a family of mixed-order order-two Rényi mutual information and Rényi conditional entropy. We derive exact reliability functions of quantum soft covering and privacy amplification under the sandwiched Rényi divergence with order α∈[2,∞)α\in[2,\infty)α∈[2,∞). The former is jointly characterized by the sandwiched and mixed-order order-two Rényi mutual information quantities, while the latter is characterized by the corresponding conditional entropies. These results provide operational interpretations of the proposed mixed-order Rényi divergence. To the best of our knowledge, this is the first exact characterization of the reliability function for quantum soft covering.
Fawzi and Fawzi [Quantum 5, 387 (2021)] recently defined the sharp Rényi divergence, Dα#, for α ∈ (1, ∞), as an additional quantum Rényi divergence with nice mathematical properties and applications in quantum channel discrimination and quantum communication. One of their open questions was the limit α → 1 of this divergence. By finding a new expression of the sharp divergence in terms of a minimization of the geometric Rényi divergence, we show that this limit is equal to the Belavkin–Staszewski relative entropy. Analogous minimizations of arbitrary generalized divergences lead to a new family of generalized divergences that we call kringel divergences for which we prove various properties, including the data-processing inequality.