论文标题

多部分纠缠生成的快捷方式:玻色子减法的图形方法

Shortcut to Multipartite Entanglement Generation: A Graph Approach to Boson Subtractions

论文作者

Chin, Seungbeom, Kim, Yong-Su, Karczewski, Marcin

论文摘要

储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。

We propose a graph method for systematically searching for schemes that can generate multipartite entanglement in linear bosonic systems with heralding. While heralded entanglement generation offers more tolerable schemes for quantum tasks than postselected ones, it is generally more challenging to find appropriate circuits for multipartite systems. We show that our graph mapping from boson subtractions provides handy tactics to overcome the limitations in circuit designs. We present a practical strategy to mitigate the limitation through the implementation of our graph technique. Our physical setup is based on the sculpting protocol, which utilizes an $ N$ spatially overlapped subtractions of single bosons to convert Fock states of evenly distributed bosons into entanglement. We have identified general schemes for qubit N-partite GHZ and W states, which are significantly more efficient than previous schemes. In addition, our scheme for generating the superposition of $N=3$ GHZ and W entangled states illustrates that our approach can be extended to derive more generalized forms of entangled states. Furthermore, we have found an N-partite GHZ state generation scheme for qudits, which requires substantially fewer particles than previous proposals. These results demonstrate the power of our approach in discovering optimized solutions for the generation of intricate heralded entangled states. As a proof of concept, we propose a linear optical scheme for the generation of the Bell state by heralding detections. We expect our method to serve as a promising tool in generating diverse entanglement.

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