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arxiv: 1412.4010 · v2 · pith:44PSOUYMnew · submitted 2014-12-12 · 🪐 quant-ph · math.FA· math.PR

Sampling quantum nonlocal correlations with high probability

classification 🪐 quant-ph math.FAmath.PR
keywords alphaprobabilitycorrelationsgammanonlocalinftyquantumrightarrow
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It is well known that quantum correlations for bipartite dichotomic measurements are those of the form $\gamma=(\langle u_i,v_j\rangle)_{i,j=1}^n$, where the vectors $u_i$ and $v_j$ are in the unit ball of a real Hilbert space. In this work we study the probability of the nonlocal nature of these correlations as a function of $\alpha=\frac{m}{n}$, where the previous vectors are sampled according to the Haar measure in the unit sphere of $\mathbb R^m$. In particular, we prove the existence of an $\alpha_0>0$ such that if $\alpha\leq \alpha_0$, $\gamma$ is nonlocal with probability tending to $1$ as $n\rightarrow \infty$, while for $\alpha> 2$, $\gamma$ is local with probability tending to $1$ as $n\rightarrow \infty$.

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