Efficiently Compressible Density Operators via Entropy Maximization
We address the problem of efficiently and effectively compress density operators (DOs), by providing an efficient procedure for learning the most likely DO, given a chosen set of partial information.We explore, in the context of quantum information theory, the generalisation of the maximum entropy estimator for DOs, when the direct dependencies bet