A Unified Approach to Quantum Contraction and Correlation Coefficients
Ian George, Marco Tomamichel

TL;DR
This paper develops a quantum extension of classical correlation and contraction measures, introducing computable quantum coefficients and establishing a fundamental relation between them, with applications to quantum channel mixing times.
Contribution
It constructs a unified quantum framework for maximal correlation and contraction coefficients, extending classical properties and providing efficient algorithms for quantum information processing.
Findings
Quantum maximal correlation coefficients impose limits on quantum state conversions.
A family of quantum contraction coefficients are efficiently computable.
A quantum analogue of Raginsky's classical correspondence is established.
Abstract
The maximal correlation coefficient measures the linear correlation in a bipartite distribution and contraction coefficients measure how much information is lost under a noisy channel. Remarkably, Raginsky established a close relation between these two concepts by showing that the contraction coefficient equals the maximal correlation coefficient of the joint input/output distribution of the channel. In quantum theory, several generalizations of these concepts have been proposed, but none recover all the classical properties. Here we construct a framework in which the classical theory extends to the quantum setting. We introduce families of quantum maximal correlation coefficients and show that many impose limits on converting quantum states under local operations. We establish a family of quantum contraction coefficients are efficiently computable, yielding a generic efficient…
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