论文标题

随机线性门套

Randomized linear gate set tomography

论文作者

Gu, Yanwu, Mishra, Rajesh, Englert, Berthold-Georg, Ng, Hui Khoon

论文摘要

表征构成量子计算设备的构建块的一组门操作中的噪声是评估设备质量的必要条件。在这里,我们介绍了随机线性栅极层造影术,一种易于实现的门断层扫描程序,结合了对标准门层扫描层摄影层和无设计的随机层析成像循环电路的状态预先准备和无用的表征的概念,并通过适当的线性近似来带来的计算障碍。我们通过模拟示例以及在IBM量子体验平台上进行的实验来证明我们的计划的性能。在每种情况下,我们都会发现,我们的过程的性能与标准门层扫描术的性能相当,同时不需要复杂的层析成像电路设计,并且在推论噪声参数的估计值时花费了更少的计算时间。这允许在实验中直接表征栅极操作。

Characterizing the noise in the set of gate operations that form the building blocks of a quantum computational device is a necessity for assessing the quality of the device. Here, we introduce randomized linear gate set tomography, an easy-to-implement gate set tomography procedure that combines the idea of state-preparation-and-measurement-error-free characterization of standard gate set tomography with no-design randomized tomographic circuits and computational ease brought about by an appropriate linear approximation. We demonstrate the performance of our scheme through simulated examples as well as experiments done on the IBM Quantum Experience Platform. In each case, we see that the performance of our procedure is comparable with that of standard gateset tomography, while requiring no complicated tomographic circuit design and taking much less computational time in deducing the estimate of the noise parameters. This allows for straightforward on-the-fly characterization of the gate operations in an experiment.

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