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Quantifying record entanglement in extremely large Hilbert spaces with adaptively sampled EPR correlations

机译:通过自适应采样的EPR相关性定量极大的希尔伯特空间中的记录纠缠

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As applications of quantum information and processing grow in scale in sophistication, the ability to quantify the resources present in very high-dimensional quantum systems is an important experimental problem needing solution. In particular, quantum entanglement is a resource fundamental to most applications in quantum information, but becomes intractable to measure in high dimensional systems, both because of the difficulty in obtaining a complete description of the entangled state, and the subsequent calculation of entanglement measures. In this paper, we discuss how one can measure record levels of entanglement simply using the same correlations employed to demonstrate the EPR paradox. To accomplish this, we developed a new entropic uncertainty relation where the Einstein-Podolsky-Rosen (EPR) correlations between positions and momenta of photon pairs bound quantum entropy, which in turn bounds entanglement. To sample the EPR correlations efficiently, one can sample at variable resolution, and combine this with relations in information theory so that only regions of high probability are sampled at high resolution, while entanglement is never over-estimated. This approach makes quantifying extremely high-dimensional entanglement scalable, with efficiency that actually improves with higher entanglement.
机译:随着量子信息和加工在比例中增长的尺度的应用,能够量化在非常高维量子系统中存在的资源是需要解决方案的重要实验问题。特别地,量子纠缠是量子信息中大多数应用的资源基础,而是由于难以获得纠缠状态的完整描述以及随后的纠缠措施计算而变得难以测量的高维系统。在本文中,我们讨论如何使用与展示EPR悖论的相同相关性来测量创录的缠结水平。为实现这一目标,我们开发了一种新的熵不确定性关系,其中光子对绑定量子熵的位置和动量之间的Einstein-Podolsky-Rosen(EPR)相关性,这反过来界限纠缠。为了有效地对ePR相关性进行相关,可以在可变分辨率下进行采样,并将其与信息理论的关系组合,以便在高分辨率下仅采样高概率的区域,而纠缠不会过度估计。这种方法使得量化极高的纠缠可扩展,具有较高的缠结实际上改善的效率。

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