Reverse-type Data Processing Inequality

Fuente: arXiv
Saved in:
Bibliographic Details
Main Authors: Belzig, Paula, Gao, Li, Smith, Graeme, Wu, Peixue
Format: Preprint
Published: 2024
Subjects:
Online Access:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866918179925655552
author Belzig, Paula
Gao, Li
Smith, Graeme
Wu, Peixue
author_facet Belzig, Paula
Gao, Li
Smith, Graeme
Wu, Peixue
contents The quantum data processing inequality asserts that two quantum states become harder to distinguish when a noisy channel is applied. On the other hand, a reverse quantum data processing inequality characterizes whether distinguishability is preserved after the application of a noisy channel. In this work, we explore these concepts through contraction and expansion coefficients of the relative entropy of quantum channels. Our first result is that quantum channels with an input dimension greater than or equal to the output dimension do not have a non-zero expansion coefficient, which means that they cannot admit a reverse data-processing inequality. We propose a comparative approach by introducing a relative expansion coefficient, to assess how one channel expands relative entropy compared to another. We show that this relative expansion coefficient is positive for three important classes of quantum channels: depolarizing channels, generalized dephasing channels, and amplitude damping channels. As an application, we give the first rigorous construction of level-1 less noisy quantum channels that are non-degradable.
format Preprint
id arxiv_https___arxiv_org_abs_2411_19890
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Reverse-type Data Processing Inequality
Belzig, Paula
Gao, Li
Smith, Graeme
Wu, Peixue
Quantum Physics
Information Theory
Mathematical Physics
The quantum data processing inequality asserts that two quantum states become harder to distinguish when a noisy channel is applied. On the other hand, a reverse quantum data processing inequality characterizes whether distinguishability is preserved after the application of a noisy channel. In this work, we explore these concepts through contraction and expansion coefficients of the relative entropy of quantum channels. Our first result is that quantum channels with an input dimension greater than or equal to the output dimension do not have a non-zero expansion coefficient, which means that they cannot admit a reverse data-processing inequality. We propose a comparative approach by introducing a relative expansion coefficient, to assess how one channel expands relative entropy compared to another. We show that this relative expansion coefficient is positive for three important classes of quantum channels: depolarizing channels, generalized dephasing channels, and amplitude damping channels. As an application, we give the first rigorous construction of level-1 less noisy quantum channels that are non-degradable.
title Reverse-type Data Processing Inequality
topic Quantum Physics
Information Theory
Mathematical Physics
url https://arxiv.org/abs/2411.19890