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Entanglement formation in continuous-variable random quantum networks

机译:连续变量随机量子网络中的缠结形成

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Entanglement is not only important for understanding the fundamental properties of many-body systems, but also the crucial resource enabling quantum advantages in practical information processing tasks. Although previous works on quantum networks focus on discrete-variable systems, lightas the only traveling carrier of quantum information in a networkis bosonic and thus requires a continuous-variable description. We extend the study to continuous-variable quantum networks. By mapping the ensemble-averaged entanglement dynamics on an arbitrary network to a random-walk process on a graph, we are able to exactly solve the entanglement dynamics. We identify squeezing as the source of entanglement generation, which triggers a diffusive spread of entanglement with a 'parabolic light cone". A surprising linear superposition law in the entanglement growth is predicted by the theory and numerically verified, despite the nonlinear nature of the entanglement dynamics. The equilibrium entanglement distribution (Page curves) is exactly solved and has various shapes depending on the average squeezing density and strength.
机译:纠缠不仅适用于了解许多机身系统的基本属性,还非常重要,也是在实际信息处理任务中实现量子优势的关键资源。虽然以前的作品对Quantum Networks对焦于离散变量系统,但LightAS NetworkIS博乐中的量子信息的唯一旅行载波,因此需要连续变量描述。我们将研究扩展到连续变量量子网络。通过将独立的网络上的集合平均纠缠动力映射到图形上的随机步行过程,我们能够完全解决纠缠动态。我们识别挤压作为缠结生成的来源,它用“抛物面轻锥”触发缠结的扩散蔓延。由于纠缠的非线性性质,这一理论预测了纠缠生长的令人惊讶的线性叠加法。动态。平衡纠缠分布(页曲曲线)精确求解,具体地具有各种形状,这取决于平均挤压密度和强度。

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