Quantum reverse hypercontractivity: its tensorization and application to strong converses
April 26, 2018 Β· Declared Dead Β· π arXiv.org
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Authors
Salman Beigi, Nilanjana Datta, Cambyse RouzΓ©
arXiv ID
1804.10100
Category
quant-ph: Quantum Computing
Cross-listed
cs.IT,
math-ph,
math.FA
Citations
46
Venue
arXiv.org
Last Checked
6 months ago
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 $2$-log-Sobolev and $1$-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.
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