论文标题
加强量子计量学的混合量子古典方法
Hybrid quantum-classical approach to enhanced quantum metrology
论文作者
论文摘要
量子计量学在许多科学领域都起着基本作用。但是，工程纠缠的探针和外部噪声的复杂性增加了技术障碍，以实现具有给定资源的预估计参数的预期精度。在这里，我们通过将可调节控件引入编码过程中，然后利用混合量子经典方法自动在线优化控件来解决此问题。我们的计划不需要任何复杂或棘手的离线设计，并且可以在学习过程中固有地纠正某些统一错误。我们还报告了该有前途的方案的第一个实验证明，该方案是为核磁共振（NMR）处理器进行频率估计的最佳探针的任务。提出的方案为实验自动搜索最佳协议铺平了道路，以提高计量精度。
Quantum metrology plays a fundamental role in many scientific areas. However, the complexity of engineering entangled probes and the external noise raise technological barriers for realizing the expected precision of the to-be-estimated parameter with given resources. Here, we address this problem by introducing adjustable controls into the encoding process and then utilizing a hybrid quantum-classical approach to automatically optimize the controls online. Our scheme does not require any complex or intractable off-line design, and it can inherently correct certain unitary errors during the learning procedure. We also report the first experimental demonstration of this promising scheme for the task of finding optimal probes for frequency estimation on a nuclear magnetic resonance (NMR) processor. The proposed scheme paves the way to experimentally auto-search optimal protocol for improving the metrology precision.
