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arxiv: 1411.6881 · v2 · pith:VHVUE44Xnew · submitted 2014-11-25 · 🧮 math-ph · math.MP· math.PR· quant-ph

Additivity rates and PPT property for random quantum channels

classification 🧮 math-ph math.MPmath.PRquant-ph
keywords channelsrandomquantumadditivitymatricesratesenyiproperty
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Inspired by Montanaro's work, we introduce the concept of additivity rates of a quantum channel $L$, which give the first order (linear) term of the minimum output $p$-R\'enyi entropies of $L^{\otimes r}$ as functions of $r$. We lower bound the additivity rates of arbitrary quantum channels using the operator norms of several interesting matrices including partially transposed Choi matrices. As a direct consequence, we obtain upper bounds for the classical capacity of the channels. We study these matrices for random quantum channels defined by random subspaces of a bipartite tensor product space. A detailed spectral analysis of the relevant random matrix models is performed, and strong convergence towards free probabilistic limits is showed. As a corollary, we compute the threshold for random quantum channels to have the positive partial transpose (PPT) property. We then show that a class of random PPT channels violate generically additivity of the $p$-R\'enyi entropy for all $p\geq30.95$.

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