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arXiv 2202.10697quant-phcs.AR
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量子电路鲁棒测试的自动测试模式生成

Automatic Test Pattern Generation for Robust Quantum Circuit Testing

Institute of Software, Chinese Academy of Sciences(中国科学院软件研究所);University of Chinese Academy of Sciences(中国科学院大学);Department of Computer and Information Science, University of Pennsylvania(宾夕法尼亚大学计算机与信息科学系);Centre for Quantum Software and Information, University of Technology Sydney(悉尼科技大学量子软件与信息研究中心)

Kean Chen, Mingsheng Ying

AI总结:

本文提出了一种基于稳定子投影分解的自动测试模式生成框架,用于提高量子电路测试的鲁棒性,并通过理论和实验验证了算法的有效性。

摘要:

量子电路测试对于检测现实量子设备中的潜在故障至关重要,而测试过程本身也受到量子操作的不精确性和不可靠性的影响。本文通过提出一种新颖的自动测试模式生成(ATPG)框架来缓解这一问题,用于逻辑量子电路的鲁棒测试。我们引入了稳定子投影分解(SPD)来表示量子测试模式,并利用仅包含Clifford门的电路构造测试应用(即状态制备和测量),这些门在容错量子计算中已被证明具有较高的鲁棒性和效率。然而,由于稳定子投影的数量呈指数增长,生成SPD通常较为困难。为克服这一困难,我们开发了SPD生成算法,以及能够利用局部性和稀疏性来生成SPD的几种加速技术。我们的算法有效性通过1)在合理条件下理论保证,2)在常用的基准电路(如IBM Qiskit中的量子傅里叶变换(QFT)、量子体积(QV)和伯斯特-瓦兹拉尼(BV))上的实验结果得到验证。

英文摘要:

Quantum circuit testing is essential for detecting potential faults in realistic quantum devices, while the testing process itself also suffers from the inexactness and unreliability of quantum operations. This paper alleviates the issue by proposing a novel framework of automatic test pattern generation (ATPG) for robust testing of logical quantum circuits. We introduce the stabilizer projector decomposition (SPD) for representing the quantum test pattern, and construct the test application (i.e., state preparation and measurement) using Clifford-only circuits, which are rather robust and efficient as evidenced in the fault-tolerant quantum computation. However, it is generally hard to generate SPDs due to the exponentially growing number of the stabilizer projectors. To circumvent this difficulty, we develop an SPD generation algorithm, as well as several acceleration techniques which can exploit both locality and sparsity in generating SPDs. The effectiveness of our algorithms are validated by 1) theoretical guarantees under reasonable conditions, 2) experimental results on commonly used benchmark circuits, such as Quantum Fourier Transform (QFT), Quantum Volume (QV) and Bernstein-Vazirani (BV) in IBM Qiskit.

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。

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