We present an extension to the robust phase estimation protocol, which can identify incorrect results that would otherwise lie outside the expected statistical range. Robust phase estimation is increasingly a method of choice for applications such as estimating the effective process parameters of noisy hardware, but its robustness is dependent on the noise satisfying certain threshold assumptions. We provide consistency checks that can indicate when those thresholds have been violated, which can be difficult or impossible to test directly. We test these consistency checks for several common noise models, and identify two possible checks with high accuracy in locating the point in a robust phase estimation run at which further estimates should not be trusted. One of these checks may be chosen based on resource availability, or they can be used together in order to provide additional verification.
翻译:我们对稳健的阶段估算程序进行了扩展,该程序可以找出不正确的结果,否则就会超出预期的统计范围。强劲的阶段估算越来越成为各种应用的首选方法,例如估计噪音硬件的有效流程参数,但其稳健性取决于符合某些临界假设的噪音。我们提供一致性检查,可以表明这些阈值何时被违反,这可能会难以或不可能直接测试。我们测试了几个通用噪音模型的一致度检查,并找出了两种可能非常精确地将点定位在不应相信进一步估算的稳健的阶段估算中的可能检查。其中一种检查可以基于资源可用性选择,或者可以一起使用,以提供额外的核实。