Uniform Additivity of Tripartite Optimized Correlation Measures

ORAL

Abstract

Information theory provides a framework for answering fundamental questions about the optimal performance of many important quantum communication and computational tasks. In many cases, the optimal rates of these tasks can be expressed in terms of regularized formulas that consist of linear combinations of von Neumann entropies optimized over state extensions. However, evaluation of regularized formulas is often intractable, since it involves computing a formula's value in the limit of infinitely many copies of a state. To find optimized, linear entropic functions of quantum states whose regularized versions are tractable to compute, we search for linear combinations of entropies on tripartite quantum states that are additive. We use the method of [1], which considers bipartite formulas, to identify convex polyhedral cones of uniformly additive tripartite correlation measures. We rely only on strong subadditivity of the von Neumann entropy and use these cones to prove that three previously established tripartite optimized correlation measures are additive.

*This work was funded by NSF Grant No. 1734006 and NSF CAREER Grant No. CCF 1652560.

Publication: Levin, Joshua, Ariel Shlosberg, Vikesh Siddhu, and Graeme Smith. "Uniform Additivity of Tripartite Optimized Correlation Measures." arXiv preprint arXiv:2412.18586 (2024).

Presenters

  • Ariel Shlosberg

    • University of New Mexico

Authors

  • Ariel Shlosberg

    • University of New Mexico
  • Joshua Levin

    • CU Boulder/JILA
  • Vikesh Siddhu

    • Carnegie Mellon University
  • Graeme Smith

    • University of Waterloo