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arXiv (Cornell University)
Reverse-type Data Processing Inequality
November 2024 • Paula Belzig, Gao Li, Graeme Smith, Peixue Wu
The quantum data processing inequality asserts that two quantum states become harder to distinguish when a noisy channel is applied. On the other hand, a reverse quantum data processing inequality characterizes whether distinguishability is preserved after the application of a noisy channel. In this work, we explore these concepts through contraction and expansion coefficients of the relative entropy of quantum channels. Our first result is that quantum channels with an input dimension greater than or equal to the…
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