Quantum Conditional Mutual Information and Approximate Markov Chains 论文
2015Communications in Mathematical Physics引用 265
Quantum Mechanics and ApplicationsQuantum Information and CryptographyQuantum Computing Algorithms and Architecture
摘要
A state on a tripartite quantum system $${A \otimes B \otimes C}$$ forms a Markov chain if it can be reconstructed from its marginal on $${A \otimes B}$$ by a quantum operation from B to $${B \otimes C}$$ . We show that the quantum conditional mutual information I(A : C|B) of an arbitrary state is an upper bound on its distance to the closest reconstructed state. It thus quantifies how well the Markov chain property is approximated.
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