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Optimization of distributed EPR entanglement generated between two Gaussian fields by the modified steepest descent method

机译:两者之间产生的分布式EpR纠缠的优化   通过改进的最速下降法进行高斯场

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摘要

Recent theoretical investigations on quantum coherent feedback networks havefound that with the same pump power, the Einstein-Podolski-Rosen (EPR)-likeentanglement generated via a dual nondegenerate optical parametric amplifier(NOPA) system placed in a certain coherent feedback loop is stronger than theEPR-like entangled pairs produced by a single NOPA. In this paper, we present alinear quantum system consisting of two NOPAs and a static linear passivenetwork of optical devices. The network has six inputs and six outputs, amongwhich four outputs and four inputs are connected in a coherent feedback loopwith the two NOPAs. This passive network is represented by a $6 \times 6$complex unitary matrix. A modified steepest descent method is used to find apassive complex unitary matrix at which the entanglement of this dual-NOPAnetwork is locally maximized. Here we choose the matrix corresponding to adual-NOPA coherent feedback network from our previous work as a starting pointfor the modified steepest descent algorithm. By decomposing the unitary matrixobtained by the algorithm as the product of so-called two-level unitarymatrices, we find an optimized configuration in which the complex matrix isrealized by a static optical network made of beam splitters.
机译:最近对量子相干反馈网络的理论研究发现,在相同的泵浦功率下,通过置于特定相干反馈环路中的双非简并光学参量放大器(NOPA)系统生成的类似于爱因斯坦-波多尔斯基-罗森(EPR)的纠缠比EPR强。单个NOPA产生的类纠缠对。在本文中,我们提出了一个由两个NOPA和一个光学器件的静态线性无源网络组成的线性量子系统。该网络具有六个输入和六个输出,其中四个输出和四个输入通过两个NOPA连成一个反馈环路。这个无源网络由一个6×6的复unit矩阵表示。修改后的最速下降法用于找到无源复unit矩阵,在该矩阵处该双NOPA网络的纠缠局部最大化。在这里,我们从先前的工作中选择与adual-NOPA相干反馈网络相对应的矩阵,作为改进的最速下降算法的起点。通过将算法获得的unit矩阵分解为所谓的两级unit矩阵,我们找到了一种优化的配置,其中由分束器组成的静态光学网络实现了复矩阵。

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