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Quantum Relative Entropy


The quantum relative entropy of density matrices rho and sigma on the same finite-dimensional Hilbert space is

 D(rhoOsigma)=Tr[rho(lnrho-lnsigma)],

provided the column space of rho is contained in the column space of sigma. Otherwise its value is infinite. The matrix trace is interpreted on the column space of sigma, with 0ln0=0. This convention handles zero eigenvalues without applying a logarithm to a singular matrix.

Quantum relative entropy is nonnegative and vanishes iff rho=sigma. If the two density matrices commute, matrix diagonalization in a common orthonormal basis reduces it to classical relative entropy with natural logarithms. It is neither symmetric nor a metric (Watrous 2018).

For a joint density matrix rho_(AB), its quantum mutual information is I(A:B)=D(rho_(AB)Orho_A tensor rho_B), where rho_A and rho_B are the reduced density matrices. This quantity is the correction for final correlations in Landauer's principle.


See also

Density Matrix, Landauer's Principle, Mutual Information, Relative Entropy, von Neumann Entropy

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References

Watrous, J. The Theory of Quantum Information. Cambridge, England: Cambridge University Press, 2018. https://doi.org/10.1017/9781316848142.

Cite this as:

Weisstein, Eric W. "Quantum Relative Entropy." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/QuantumRelativeEntropy.html

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