Does the quantum relative entropy have a direct operational interpretation?

Consider the quantum relative entropy, defined as $$D(\rho\|\sigma) = \operatorname{tr}(\rho\log\rho)-\operatorname{tr}(\rho\log\sigma),$$ for all $$\rho,\sigma\ge0$$ such that $$\operatorname{im}(\rho)\subseteq\operatorname{im}(\sigma)$$. It is well-known that $$\rho,\sigma$$ are states with $$[\rho,\sigma]=0$$, then $$D(\rho\|\sigma)$$ equals the classical relative entropy between the probability distribution corresponding to their respective eigenvalues.

The classical relative entropy can be interpreted for example in a communication context as how "inefficient" coding a message using a code optimised for the wrong probability distribution is, as mentioned e.g. in this math.SE post.

Does the quantum relative entropy have any direct operational interpretation? By this, I mean a way to interpret $$D(\rho\|\sigma)$$ as quantifying a specific property in any kind of communication/coding/informational context. For example, we can understand the von Neumann entropy $$S(\rho)$$ as the Shannon entropy of the probability distribution obtained measuring $$\rho$$ in its eigenbasis (Does the von Neumann entropy equal the smallest accessible Shannon entropy?), and we can understand the quantum mutual information $$I(X:Y)_\rho$$ in terms of entanglement-assisted communication rates (although not directly as just naive "correlations", due to it potentially containing quantum discord).

A possible way to do this is to understand the quantum relative entropy as the classical relative entropy between some pair of classical distributions. Admittedly, given the general expression $$D(\rho\|\sigma) = \sum_{jk} |\langle\lambda_j(\rho)|\lambda_k(\sigma)\rangle|^2 \lambda_j(\rho) \log\left(\frac{\lambda_j(\rho)}{\lambda_k(\sigma)}\right),$$ where $$\lambda_j(\rho)$$ is the $$j$$-th eigenvalue of $$\rho$$, and $$|\lambda_j(\rho)\rangle$$ the corresponding eigenvector, this doesn't seem to be the case, but I don't know how to rule it out altogether.