论文标题
一种杂种量子古典方法来减轻测量误差
A hybrid quantum-classical approach to mitigating measurement errors
论文作者
论文摘要
当在信息处理中应用嘈杂的中间可伸缩量子（NISQ）设备时，通过制备，操纵和测量多部分Qubit状态的所有阶段都包含各种类型的噪声，这些噪声通常在实践中很难得到验证。在这项工作中，我们提出了一种处理未知量子噪声的方案，并表明它可用于减轻使用NISQ设备的测量读数中的错误。可以规避测量中识别噪声类型的量子检测器断层扫描。该方案仅采用单量操作，其精度比测量读数或两倍的门具有相对较高的精度。然后通过测量结果进行经典后处理。该方案在具有NISQ设备的量子算法中实现：伯恩斯坦 - 瓦泽拉尼算法和IBMQ Yorktown和IBMQ Essex中的量子幅度估计算法。对于NISQ设备的两种算法，都提出了测量结果统计数据的增强。
When noisy intermediate scalable quantum (NISQ) devices are applied in information processing, all of the stages through preparation, manipulation, and measurement of multipartite qubit states contain various types of noise that are generally hard to be verified in practice. In this work, we present a scheme to deal with unknown quantum noise and show that it can be used to mitigate errors in measurement readout with NISQ devices. Quantum detector tomography that identifies a type of noise in a measurement can be circumvented. The scheme applies single-qubit operations only, that are with relatively higher precision than measurement readout or two-qubit gates. A classical post-processing is then performed with measurement outcomes. The scheme is implemented in quantum algorithms with NISQ devices: the Bernstein-Vazirani algorithm and a quantum amplitude estimation algorithm in IBMQ yorktown and IBMQ essex. The enhancement in the statistics of the measurement outcomes is presented for both of the algorithms with NISQ devices.
