论文标题
强大相位估计的一致性测试
Consistency testing for robust phase estimation
论文作者
论文摘要
我们提出了强大的阶段估计协议的扩展，该协议可以识别出不正确的结果，否则这些结果将超出预期的统计范围。对于应用程序，诸如估算嘈杂硬件的有效过程参数之类的应用程序，稳健的相位估计越来越多，但其稳健性取决于满足某些阈值假设的噪声。我们提供一致性检查，可以指示何时违反这些阈值，这可能很难或不可能直接测试。我们测试了几种常见噪声模型的这些一致性检查，并在可靠的相位估计中定位点，以高精度确定两项可能的检查，在该估算中不应信任进一步的估计。可以根据资源可用性选择其中一项检查，也可以将它们一起使用以提供额外的验证。
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.
