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Monotonicity of optimized quantum $f$-divergence (2104.12890v3)

Published 26 Apr 2021 in quant-ph, math-ph, math.FA, and math.MP

Abstract: Optimized quantum $f$-divergence was first introduced by Wilde in \cite{Wil18}. Wilde raised the question of whether the monotonicity of optimized quantum $f$-divergence can be generalized to maps that are not quantum channels. We answer this question by generalizing the monotonicity of optimized quantum $f$-divergences to positive trace preserving maps satisfying a Schwarz inequality.

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References (20)
  1. T. Ando. Topics on operator inequalities. Lecture notes, Hokkaido Univ., Sapporo, 1978.
  2. Salman Beigi. Sandwiched rényi divergence satisfies data processing inequality. Journal of Mathematical Physics, 54(12), 2013.
  3. Rajendra Bhatia. Matrix analysis, volume 169. Springer Science & Business Media, 2013.
  4. Eric Carlen. Trace inequalities and quantum entropy: an introductory course. Entropy and the quantum, 529:73–140, 2010.
  5. Péter E Frenkel. Integral formula for quantum relative entropy implies data processing inequality. Quantum, 7:1102, 2023.
  6. Li Gao and Mark M Wilde. Recoverability for optimized quantum f-divergences. Journal of Physics A: Mathematical and Theoretical, 54(38):385302, 2021.
  7. Jensen’s operator inequality. Bulletin of the London Mathematical Society, 35(4):553–564, 2003.
  8. Quantum f-divergences and error correction. Reviews in Mathematical Physics, 23(07):691–747, 2011.
  9. Quantum differential privacy: An information theory perspective. IEEE Transactions on Information Theory, 2023.
  10. Quantum Rényi and f𝑓fitalic_f-divergences from integral representations. arXiv preprint arXiv:2306.12343, 2023.
  11. Monotone riemannian metrics and relative entropy on noncommutative probability spaces. Journal of Mathematical Physics, 40(11):5702–5724, 1999.
  12. Monotonicity of the quantum relative entropy under positive maps. In Annales Henri Poincaré, volume 18, pages 1777–1788. Springer, 2017.
  13. On quantum rényi entropies: A new generalization and some properties. Journal of Mathematical Physics, 54(12), 2013.
  14. Dénes Petz. Quasi-entropies for finite quantum systems. Reports on mathematical physics, 23(1):57–65, 1986.
  15. On the strong converses for the quantum channel capacity theorems. arXiv preprint arXiv:1205.1712, 2012.
  16. A fully quantum asymptotic equipartition property. IEEE Transactions on information theory, 55(12):5840–5847, 2009.
  17. Hisaharu Umegaki. Conditional expectation in an operator algebra, iv (entropy and information). In Kodai Mathematical Seminar Reports, volume 14, pages 59–85. Department of Mathematics, Tokyo Institute of Technology, 1962.
  18. Vlatko Vedral. The role of relative entropy in quantum information theory. Reviews of Modern Physics, 74(1):197, 2002.
  19. Mark M Wilde. Optimized quantum f-divergences and data processing. Journal of Physics A: Mathematical and Theoretical, 51(37):374002, 2018.
  20. Strong converse for the classical capacity of entanglement-breaking and hadamard channels via a sandwiched rényi relative entropy. Communications in Mathematical Physics, 331:593–622, 2014.
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