Chain Rule for the Quantum Relative Entropy
The chain rule for the classical relative entropy ensures that the relative entropy between probability distributions on multipartite systems can be decomposed into a sum of relative entropies of suitably chosen conditional distributions on the individual systems. Here, we prove a chain rule inequal...
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Published in | Physical review letters Vol. 124; no. 10; p. 100501 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
13.03.2020
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Online Access | Get more information |
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Summary: | The chain rule for the classical relative entropy ensures that the relative entropy between probability distributions on multipartite systems can be decomposed into a sum of relative entropies of suitably chosen conditional distributions on the individual systems. Here, we prove a chain rule inequality for the quantum relative entropy. The new chain rule allows us to solve an open problem in the context of asymptotic quantum channel discrimination: surprisingly, adaptive protocols cannot improve the error rate for asymmetric channel discrimination compared to nonadaptive strategies. |
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ISSN: | 1079-7114 |
DOI: | 10.1103/PhysRevLett.124.100501 |