论文标题
用于减轻量子错误的数字零噪声外推
Digital zero noise extrapolation for quantum error mitigation
论文作者
论文摘要
零噪声外推（ZNE）是一种越来越流行的技术，可以在不使用其他量子资源的情况下减轻噪声量子计算中的错误。我们回顾了ZNE的基本原理，并提出了一些改进噪声缩放和外推，这是该技术中的两个关键组成部分。我们引入统一折叠和参数化噪声缩放。这些是数字噪声缩放框架，即只能使用大多数量子指令集共有的门级访问来应用它们。我们还研究了不同的外推方法，包括使用统计推理框架的新自适应方案。我们技术的基准测试在未降低的电路上显示出18倍至24倍的误差降低，并且比以前测试的量子数在较大的Qubit数字上显示出ZNE的有效性。除了提出新的结果外，这项工作是量子程序员对ZNE实际使用的独立介绍。
Zero-noise extrapolation (ZNE) is an increasingly popular technique for mitigating errors in noisy quantum computations without using additional quantum resources. We review the fundamentals of ZNE and propose several improvements to noise scaling and extrapolation, the two key components in the technique. We introduce unitary folding and parameterized noise scaling. These are digital noise scaling frameworks, i.e. one can apply them using only gate-level access common to most quantum instruction sets. We also study different extrapolation methods, including a new adaptive protocol that uses a statistical inference framework. Benchmarks of our techniques show error reductions of 18X to 24X over non-mitigated circuits and demonstrate ZNE effectiveness at larger qubit numbers than have been tested previously. In addition to presenting new results, this work is a self-contained introduction to the practical use of ZNE by quantum programmers.
