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LIRB-Based Quantum Circuit Fidelity Assessment and Gate Fault Diagnosis

Mengdi Yang, Feng Yue, Weilong Wang, Xiangdong Meng, Lixin Wang, Pengyu Han, Haoran He, Benzheng Yuan, Zhiqiang Fan, Chenhui Wang, Qiming Du, Danyang Zheng, Xuefei Feng, Zheng Shan*

Laboratory for Advanced Computing and Intelligence Engineering, Information Engineering University, Zhengzhou, 450001, China

* Corresponding Author: Zheng Shan. Email: email

Computers, Materials & Continua 2025, 82(2), 2215-2233. https://doi.org/10.32604/cmc.2024.058163

Abstract

Quantum circuit fidelity is a crucial metric for assessing the accuracy of quantum computation results and indicating the precision of quantum algorithm execution. The primary methods for assessing quantum circuit fidelity include direct fidelity estimation and mirror circuit fidelity estimation. The former is challenging to implement in practice, while the latter requires substantial classical computational resources and numerous experimental runs. In this paper, we propose a fidelity estimation method based on Layer Interleaved Randomized Benchmarking, which decomposes a complex quantum circuit into multiple sublayers. By independently evaluating the fidelity of each layer, one can comprehensively assess the performance of the entire quantum circuit. This layered evaluation strategy not only enhances accuracy but also effectively identifies and analyzes errors in specific quantum gates or qubits through independent layer evaluation. Simulation results demonstrate that the proposed method improves circuit fidelity by an average of 6.8% and 4.1% compared to Layer Randomized Benchmarking and Interleaved Randomized Benchmarking methods in a thermal relaxation noise environment, and by 40% compared to Layer RB in a bit-flip noise environment. Moreover, the method detects preset faulty quantum gates in circuits generated by the Munich Quantum Toolkit Benchmark, verifying the model’s validity and providing a new tool for faulty gate detection in quantum circuits.

Keywords

Quantum circuits; Interleaved Random Benchmarking (IRB); circuit fidelity; fault gates

Cite This Article

APA Style
Yang, M., Yue, F., Wang, W., Meng, X., Wang, L. et al. (2025). Lirb-based quantum circuit fidelity assessment and gate fault diagnosis. Computers, Materials & Continua, 82(2), 2215–2233. https://doi.org/10.32604/cmc.2024.058163
Vancouver Style
Yang M, Yue F, Wang W, Meng X, Wang L, Han P, et al. Lirb-based quantum circuit fidelity assessment and gate fault diagnosis. Comput Mater Contin. 2025;82(2):2215–2233. https://doi.org/10.32604/cmc.2024.058163
IEEE Style
M. Yang et al., “LIRB-Based Quantum Circuit Fidelity Assessment and Gate Fault Diagnosis,” Comput. Mater. Contin., vol. 82, no. 2, pp. 2215–2233, 2025. https://doi.org/10.32604/cmc.2024.058163



cc Copyright © 2025 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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