Ji Yanjun, Polian Ilia
Institute of Computer Architecture and Computer Engineering, University of Stuttgart, Pfaffenwaldring 47, 70569 Stuttgart, Germany.
Entropy (Basel). 2024 Jul 10;26(7):586. doi: 10.3390/e26070586.
Dynamical decoupling (DD) is a promising technique for mitigating errors in near-term quantum devices. However, its effectiveness depends on both hardware characteristics and algorithm implementation details. This paper explores the synergistic effects of dynamical decoupling and optimized circuit design in maximizing the performance and robustness of algorithms on near-term quantum devices. By utilizing eight IBM quantum devices, we analyze how hardware features and algorithm design impact the effectiveness of DD for error mitigation. Our analysis takes into account factors such as circuit fidelity, scheduling duration, and hardware-native gate set. We also examine the influence of algorithmic implementation details, including specific gate decompositions, DD sequences, and optimization levels. The results reveal an inverse relationship between the effectiveness of DD and the inherent performance of the algorithm. Furthermore, we emphasize the importance of gate directionality and circuit symmetry in improving performance. This study offers valuable insights for optimizing DD protocols and circuit designs, highlighting the significance of a holistic approach that leverages both hardware features and algorithm design for the high-quality and reliable execution of near-term quantum algorithms.
动态解耦（DD）是一种用于减轻近期量子设备中误差的很有前景的技术。然而，其有效性取决于硬件特性和算法实现细节。本文探讨了动态解耦与优化电路设计在最大化近期量子设备上算法的性能和鲁棒性方面的协同效应。通过使用八个IBM量子设备，我们分析了硬件特性和算法设计如何影响用于减轻误差的动态解耦的有效性。我们的分析考虑了诸如电路保真度、调度持续时间和硬件原生门集等因素。我们还研究了算法实现细节的影响，包括特定的门分解、动态解耦序列和优化级别。结果揭示了动态解耦的有效性与算法的固有性能之间的反比关系。此外，我们强调了门的方向性和电路对称性在提高性能方面的重要性。这项研究为优化动态解耦协议和电路设计提供了有价值的见解，突出了一种整体方法的重要性，该方法利用硬件特性和算法设计来高质量、可靠地执行近期量子算法。
