使用图像强度滤波器缓解量子计算机中的测量噪声
Measurement Noise Mitigation in a Quantum Computer Using Image Intensity Filters
AI总结：
本文提出用图像对比度滤波器替代线性校准来缓解量子计算机测量噪声，并在 IBM-Q 与 IonQ 实验中证明其显著优于 Qiskit M3 且具有平台无关性。
摘要：
我们提出一种利用图像对比度滤波器来缓解量子计算机分布计数中测量误差的方法。这项工作类似于 Gambetta 及其同事在文献[1]中描述的方法；然而，我们的技术并不使用线性方程组，而是采用图像对比度滤波器来缓解测量噪声。此外，该方法在 Qiskit 的无矩阵测量缓解（M3）库所描述的同一组实验上进行了演示，文献[1]正是基于该库。我们的结果表明，在 IBM-Q 上的所有实验中，我们的方法都以显著优势优于 M3。此外，我们的方法与平台无关；我们通过在 IonQ 云上运行部分实验并获得相似结果证明了这一点。最后，我们提供了结果、文档以及详细的测试和源代码，以供进一步研究。
英文摘要：
We propose a method to mitigate measurement errors in the distribution counts of a Quantum computer using image contrast filters. This work is similar to the method described by Gambetta and colleagues in [1]; however our technique does not use a linear system of equations, but an image contrast filter to mitigate the measurement noise. Furthermore this method is demonstrated against the same set of experiments described in the matrix-free measurement mitigation (M3) library from Qiskit from which [1] is based upon. Our results show our method outperforming M3 by a wide margin in all experiments on IBM-Q. Furthermore, our method is platform agnostic; we demonstrate this by running some experiments on the IonQ cloud with similar results. Finally, we provide results, documentation and detailed test and source code for further investigation.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
