Quantum mutual information redistribution by Number Partitioning algorithm
arXiv:2306.10297 · doi:10.1103/PhysRevA.108.052402
Abstract
Quantum information distribution in a tripartite state plays a fundamental role in quantum information processes. Here we investigate how a bipartite unitary transformation redistributes the quantum mutual information with the third party in a tripartite pure state in a dimensional Hilbert space. In particular, we focus on finding out the optimal unitary transformation that maximizes the quantum mutual entropy between party and party , . We show that the mutual entropy is upper bounded by derived from the Araki-Lieb inequality. This upper bound can be realized via an optimal unitary transformation for any pure state with the rank of satisfying . For a generic pure state with , the upper bound can not be realized by any bipartite unitary transformation. To maximize the mutual entropy in the latter case, we propose a fast numerical algorithm to produce an approximate optimal unitary transformation, where our optimization is transformed into a modified number partition problem. The validness of our algorithm is confirmed by its comparison with the results from the Adam algorithm for parameterized unitary transformations. Our approximate algorithm thus provides a practical protocol to implement redistribution of quantum mutual information for a tripartite quantum state with high dimensions.
arXiv comment13 pages, 4 figures
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