English

Quantum reverse hypercontractivity: its tensorization and application to strong converses

Quantum Physics 2020-08-26 v2 Information Theory Mathematical Physics Functional Analysis math.IT math.MP

Abstract

In this paper we develop the theory of quantum reverse hypercontractivity inequalities and show how they can be derived from log-Sobolev inequalities. Next we prove a generalization of the Stroock-Varopoulos inequality in the non-commutative setting which allows us to derive quantum hypercontractivity and reverse hypercontractivity inequalities solely from 22-log-Sobolev and 11-log-Sobolev inequalities respectively. We then prove some tensorization-type results providing us with tools to prove hypercontractivity and reverse hypercontractivity not only for certain quantum superoperators but also for their tensor powers. Finally as an application of these results, we generalize a recent technique for proving strong converse bounds in information theory via reverse hypercontractivity inequalities to the quantum setting. We prove strong converse bounds for the problems of quantum hypothesis testing and classical-quantum channel coding based on the quantum reverse hypercontractivity inequalities that we derive.

Keywords

Cite

@article{arxiv.1804.10100,
  title  = {Quantum reverse hypercontractivity: its tensorization and application to strong converses},
  author = {Salman Beigi and Nilanjana Datta and Cambyse Rouzé},
  journal= {arXiv preprint arXiv:1804.10100},
  year   = {2020}
}

Comments

36 pages

R2 v1 2026-06-23T01:37:03.055Z