论文标题
使用任意噪声的纠缠分布网络的估计误差最小化
Minimization of the estimation error for entanglement distribution networks with arbitrary noise
论文作者
论文摘要
保真度估计对于纠缠分配网络的质量控制至关重要。由于测量结果崩溃量子状态，我们考虑了一种设置，在该设置中，节点随机样品对纠缠量子对的子集进行测量，然后估算以测量结果为条件的未采样对的平均忠诚度。在具有任意噪声的困难情况下，提出的估计协议实现了最低的平方估计误差，没有事先信息。此外，该协议对实施友好，因为它仅根据预定义的序列执行本地Pauli操作员。数值研究表明，与现有的保真度估计协议相比，所提出的协议在两种情况下都通过I.I.D降低了估计误差。噪声和相关噪声。
Fidelity estimation is essential for the quality control of entanglement distribution networks. Because measurements collapse quantum states, we consider a setup in which nodes randomly sample a subset of the entangled qubit pairs to measure and then estimate the average fidelity of the unsampled pairs conditioned on the measurement outcome. The proposed estimation protocol achieves the lowest mean squared estimation error in a difficult scenario with arbitrary noise and no prior information. Moreover, this protocol is implementation friendly because it only performs local Pauli operators according to a predefined sequence. Numerical studies show that compared to existing fidelity estimation protocols, the proposed protocol reduces the estimation error in both scenarios with i.i.d. noise and correlated noise.
