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Uhlmann's theorem for relative entropies (2502.01749v2)

Published 3 Feb 2025 in quant-ph

Abstract: Uhlmann's theorem states that, for any two quantum states $\rho_{AB}$ and $\sigma_A$, there exists an extension $\sigma_{AB}$ of $\sigma_A$ such that the fidelity between $\rho_{AB}$ and $\sigma_{AB}$ equals the fidelity between their reduced states $\rho_A$ and $\sigma_A$. In this work, we generalize Uhlmann's theorem to $\alpha$-R\'enyi relative entropies for $\alpha \in [\frac{1}{2},\infty]$, a family of divergences that encompasses fidelity, relative entropy, and max-relative entropy corresponding to $\alpha=\frac{1}{2}$, $\alpha=1$, and $\alpha=\infty$, respectively.

Summary

  • The paper generalizes Uhlmann's theorem to Rényi relative entropies, establishing exact equality conditions for min- and max-relative entropies.
  • Using both regularized and measured formulations, the study overcomes challenges with non-additivity for various divergence parameters.
  • The results reconcile quantum and classical probability distributions, enhancing state discrimination methods in quantum computing and information theory.

Insights into "Uhlmann's theorem for relative entropies"

The research paper aims to generalize Uhlmann's theorem beyond its traditional bounds, extending its applications to Rényi relative entropies (RREs). Uhlmann's theorem is a pivotal result in quantum information theory, initially linking quantum state fidelity with extensions of states on larger Hilbert spaces. The paper by Mazzola, Sutter, and Renner makes strides in advancing this theorem for a wide class of divergences, specifically for RREs with the parameter α[12,]\alpha \in [\frac{1}{2},\infty]. This exploration accommodates diverse quantum divergences, including fidelity, relative entropy, and max-relative entropy, corresponding to specific α\alpha values.

Major Contributions

  1. Extension of Uhlmann's Theorem: The authors present a generalized form of Uhlmann's theorem for RREs. Specifically, they establish conditions under which the bounds for the min- and max-relative entropies hold with equality, which had been a subject of uncertainty for general RREs. They develop two forms of Uhlmann-type equalities—regularized and measured—that accommodate variations of the divergence parameters.
  2. Regularized Uhlmann's Theorem: By exploring the regularized versions of RREs, the authors demonstrate that for α\alpha in the range [12,1)(1,][\frac{1}{2},1) \cup (1,\infty], one can achieve a regularized Uhlmann-type equality. This result shows that despite the non-additivity challenges of RREs for some α\alpha ranges, regularization allows for a consistent extension of Uhlmann's theorem.
  3. Measured Uhlmann's Theorem: The paper also presents a measured version of Uhlmann's theorem, a pivotal result, highlighting that the Rényi divergence minimizes over quantum states after measurement. The theorem upholds an inequality that places the measured RRE between its quantum analogs and the standard measured divergence.
  4. Classical Limits and Validation: The paper also demonstrates how these results reconcile with simpler cases involving classical probability distributions. This establishes a bridge between quantum information theories and classical intuitions, solidifying the relevance of the extended theorem under typical probabilistic settings.

Numerical Implications

The results entail important implications in computing relative entropies across diverse applications in quantum computing and information theory. The equality conditions in the Uhlmann-type results provide more refined tools to analyze the information-theoretical distances between quantum states, especially when engaging mixed and pure quantum states in the context of quantum cryptography and quantum error correction.

Theoretical Implications

Theoretically, these findings expand the scope of relative entropy and other related quantum divergences, allowing researchers to utilize a broader class of entropic measures when analyzing quantum systems. The integration of asymptotic methods and variance formulas as presented also assures that the generalization holds under practical conditions that frequently emerge in quantum scenarios.

Speculation on Future Developments

Future work will likely focus on further refining these generalizations, particularly in exploring other types of divergences or quantum entropic quantities that may benefit from similar extensions. Additionally, there is potential for these extended theorems to contribute significantly to the advancement of algorithms in quantum computation, particularly those that necessitate precise state discrimination and quantum channel analysis.

Conclusively, this paper marks a substantive advancement in quantum information theory by extending a classical theorem into broader applicability. The ability to apply Uhlmann's theorem over a wider range of conditions underscores its foundational significance and provides a powerful toolset for future research in quantum computing and information science.