论文标题
在嘈杂的量子设备上执行的缓解电路的自适应通道估计
Adaptive channel estimation for mitigating circuits executed on noisy quantum devices
论文作者
论文摘要
传统的计算机已演变为表现出1E-17或以下的故障率的设备组件，而当前的量子计算设备通常显示出1E-2或更高的错误率。这引起了人们对从量子计算机获得的结果的可靠性和可重复性的担忧。实验观察到当今的NISQ设备本质上是不稳定的。远程量子云服务器通常不会为用户提供校准设备本身的能力。使用不准确的表征数据缓解错误可能会对可重复性产生毁灭性的影响。在这项研究中，我们研究是否可以从执行的量子电路的嘈杂二进制输出中动态推断关键通道参数，并使用它来提高程序稳定性。然而，一个开放的问题是，这种方法学量表的表现如何。我们讨论了使用规范量子电路（例如均匀叠加电路）的自适应算法的功效和效率。我们的性能指标是稳定后观测与参考（理想）分布之间的距离。
Conventional computers have evolved to device components that demonstrate failure rates of 1e-17 or less, while current quantum computing devices typically exhibit error rates of 1e-2 or greater. This raises concerns about the reliability and reproducibility of the results obtained from quantum computers. The problem is highlighted by experimental observation that today's NISQ devices are inherently unstable. Remote quantum cloud servers typically do not provide users with the ability to calibrate the device themselves. Using inaccurate characterization data for error mitigation can have devastating impact on reproducibility. In this study, we investigate if one can infer the critical channel parameters dynamically from the noisy binary output of the executed quantum circuit and use it to improve program stability. An open question however is how well does this methodology scale. We discuss the efficacy and efficiency of our adaptive algorithm using canonical quantum circuits such as the uniform superposition circuit. Our metric of performance is the Hellinger distance between the post-stabilization observations and the reference (ideal) distribution.
