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作 者: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
出 处:《Computers, Materials & Continua》2025年第2期2215-2233,共19页计算机、材料和连续体(英文)
摘 要: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.
关 键 词:Quantum circuits Interleaved Random Benchmarking(IRB) circuit fidelity fault gates
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