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Entropy 2013, 15(9), 3698-3713; doi:10.3390/e15093698
Article

Correlation Distance and Bounds for Mutual Information

Received: 21 June 2013; in revised form: 21 August 2013 / Accepted: 3 September 2013 / Published: 6 September 2013
(This article belongs to the Special Issue Distance in Information and Statistical Physics Volume 2)
Download PDF [321 KB, uploaded 6 September 2013]
Abstract: The correlation distance quantifies the statistical independence of two classical or quantum systems, via the distance from their joint state to the product of the marginal states. Tight lower bounds are given for the mutual information between pairs of two-valued classical variables and quantum qubits, in terms of the corresponding classical and quantum correlation distances. These bounds are stronger than the Pinsker inequality (and refinements thereof) for relative entropy. The classical lower bound may be used to quantify properties of statistical models that violate Bell inequalities. Partially entangled qubits can have lower mutual information than can any two-valued classical variables having the same correlation distance. The qubit correlation distance also provides a direct entanglement criterion, related to the spin covariance matrix. Connections of results with classically-correlated quantum states are briefly discussed.
Keywords: mutual information; variational distance; trace distance; Pinsker inequality; quantum entanglement mutual information; variational distance; trace distance; Pinsker inequality; quantum entanglement
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Hall, M.J.W. Correlation Distance and Bounds for Mutual Information. Entropy 2013, 15, 3698-3713.

AMA Style

Hall MJW. Correlation Distance and Bounds for Mutual Information. Entropy. 2013; 15(9):3698-3713.

Chicago/Turabian Style

Hall, Michael J.W. 2013. "Correlation Distance and Bounds for Mutual Information." Entropy 15, no. 9: 3698-3713.


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