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Shared randomness and device-independent dimension witnessing

机译:共享随机性和设备无关的维度见证

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It has been shown that the conditional probability distributions obtained by performing measurements on an uncharacterized physical system can be used to infer its underlying dimension in a device-independent way both in the classical and the quantum setting. We analyze several aspects of the structure of the sets of probability distributions corresponding to a certain dimension, taking into account whether shared randomness is available as a resource. We first consider the so-called prepare-and-measure scenario. We show that quantumness and shared randomness are not comparable resources. That is, on the one hand there exist behaviors that require a quantum system of arbitrarily large dimension in order to be observed while they can be reproduced with a classical physical system of minimal dimension together with shared randomness. On the other hand, there exist behaviors that require exponentially larger dimensions classically than quantumly even if the former is supplemented with shared randomness.We also showthat in the absence of shared randomness, the sets corresponding to a sufficiently small dimension are negligible (zero measure and nowhere dense) both classically and quantumly. This is in sharp contrast to the situation in which this resource is available, and it explains the exceptional robustness of dimension witnesses in the setting in which devices can be taken to be uncorrelated.We finally consider the Bell scenario in the absence of shared randomness, and we prove some nonconvexity and negligibility properties of these sets for sufficiently small dimensions. This shows again the enormous difference induced by the availability(or lack thereof) of this resource.
机译:已经表明,通过对非特征性物理系统执行测量获得的条件概率分布可用于以经典和量子设置在经典和量子设置中以无关的方式推断其底层维度。我们分析了对应于某个维度的概率分布集的结构的几个方面,考虑了共享随机性是否可作为资源。我们首先考虑所谓的准备和衡量方案。我们表明量子度和共享随机性不是可比的资源。也就是说,在一方面,存在需要任意大维度的量子系统的行为,以便在可以用最小维度的经典体系与共享随机性一起再现它们。另一方面,即使前者补充了共享随机性,也存在典型地呈指数较大尺寸的行为。我们还在没有共享随机性的情况下,对应于足够小维度的组可忽略不计(零测量和无处不通致密地致密化。这与此资源可用的情况鲜明对比,并且它解释了在可以将设备所属的设置中的尺寸证人的特殊稳健性。我们最终考虑在没有共享随机性的情况下考虑铃声场景,我们证明了这些组的一些非凸起和可忽略的特性,以获得足够小的尺寸。这再次显示了这种资源的可用性(或缺乏)引起的巨大差异。

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