有损光子融合网络的高效渗滤模拟

Matthias C. Löbl, Stefano Paesani, Anders S. Sørensen
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引用次数: 0

摘要

对渗流现象的研究有多种应用,从社会网络、材料科学到量子信息,不一而足。最常见的渗滤模型是纽曼-齐夫算法(Newman-Ziff algorithm)可以高效模拟的键渗滤或点渗滤。在这里,我们考虑了在基于测量的光子量子计算背景下出现的几种非标准渗滤模型,即所谓的图态和融合网络。相关的渗滤阈值决定了此类系统对光子损耗的容忍度,我们对纽曼-齐夫算法进行了修改,以高效执行相应的渗滤模拟。我们通过使用这些算法来描述示范性融合网络和图态,从而展示了我们的算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Efficient percolation simulations for lossy photonic fusion networks

Efficient percolation simulations for lossy photonic fusion networks
The study of percolation phenomena has various applications ranging from social networks or materials science to quantum information. The most common percolation models are bond or site percolation for which the Newman-Ziff algorithm enables an efficient simulation. Here, we consider several nonstandard percolation models that appear in the context of measurement-based photonic quantum computing with so-called graph states and fusion networks. The associated percolation thresholds determine the tolerance to photon loss in such systems and we develop modifications of the Newman-Ziff algorithm to efficiently perform the corresponding percolation simulations. We demonstrate our algorithms by using them to characterize exemplary fusion networks and graph states.
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CiteScore
8.60
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