论文标题
可扩展的量子处理器噪声表征
Scalable quantum processor noise characterization
论文作者
论文摘要
测量保真度矩阵（MFMS）（也称为误差内核）是表征近期量子硬件中状态准备和测量误差的自然方法。它们可以用于邮政处理中，以减轻错误并大大提高量子硬件的有效准确性。但是，当前使用MFM的可行性被限制为确定设备的MFM的实验成本，随着Qubits的数量而成倍增长。在这项工作中，我们提出了一种基于累积扩展的多数设备构建近似MFM的可扩展方法。我们的方法还可以用来表征各种类型的相关误差。
Measurement fidelity matrices (MFMs) (also called error kernels) are a natural way to characterize state preparation and measurement errors in near-term quantum hardware. They can be employed in post processing to mitigate errors and substantially increase the effective accuracy of quantum hardware. However, the feasibility of using MFMs is currently limited as the experimental cost of determining the MFM for a device grows exponentially with the number of qubits. In this work we present a scalable way to construct approximate MFMs for many-qubit devices based on cumulant expansion. Our method can also be used to characterize various types of correlation error.
