通过序贯噪声测量恢复资源
Recovery of resources through sequential noisy measurements
AI总结：
本文提出在量子网络中利用辅助量子比特序贯执行最优非锐利噪声测量，可像投影测量一样实现节点间纠缠局域化并缓解噪声影响，为制备量子资源态及提升安全通信控制权提供了新方法。
摘要：
量子信息协议中包含的噪声非锐利测量可能阻碍性能，降低量子优势。然而，我们表明，与完全破坏量子网络中节点间量子相关性的投影测量不同，噪声测量的序贯应用可以缓解测量设备中噪声对量子信息处理任务的不利影响。我们在通过辅助量子比特执行噪声测量以将纠缠集中到量子网络中选定节点的情况下证明了这一点。对于包含三个或更多量子比特簇的网络，我们展示了在辅助量子比特上序贯执行最优非锐利测量，可产生两节点间的可局域化纠缠，类似于在相同辅助量子比特上执行最优投影测量所获得的结果。此外，我们发现所提出的连续噪声测量方法有可能用于制备作为特定量子方案资源的所需状态。我们还论证，与基于锐利测量的协议相比，辅助量子比特对通过非锐利测量集中纠缠的量子比特具有更大的控制权，这可能对安全量子通信产生影响。
英文摘要：
Noisy unsharp measurements incorporated in quantum information protocols may hinder performance, reducing the quantum advantage. However, we show that, unlike projective measurements which completely destroy quantum correlations between nodes in quantum networks, sequential applications of noisy measurements can mitigate the adverse impact of noise in the measurement device on quantum information processing tasks. We demonstrate this in the case of concentrating entanglement on chosen nodes in quantum networks via noisy measurements performed by assisting qubits. In the case of networks with a cluster of three or higher number of qubits, we exhibit that sequentially performing optimal unsharp measurements on the assisting qubits yields localizable entanglement between two nodes akin to that obtained by optimal projective measurements on the same assisting qubits. Furthermore, we find that the proposed approach using consecutive noisy measurements can potentially be used to prepare desired states that are resource for specific quantum schemes. We also argue that assisting qubits have greater control over the qubits on which entanglement is concentrated via unsharp measurements, in contrast to sharp measurement-based protocols, which may have implications for secure quantum communication.
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