A Fine-Grained and Efficient Reliability Analysis Framework for Noisy Quantum Circuits
Jindi Wu, Tianjie Hu, Qun Li

TL;DR
This paper introduces a scalable, interpretable framework for assessing the reliability of noisy quantum circuits using a novel Noise Proxy Circuit and Proxy Fidelity, enabling accurate, execution-free fidelity estimation across diverse quantum devices.
Contribution
It proposes a new fine-grained, state-independent reliability analysis method with the Noise Proxy Circuit and Proxy Fidelity, improving accuracy and scalability over existing metrics.
Findings
Accurately estimates circuit fidelity with an average absolute difference of 0.031 to 0.069.
Provides a scalable and interpretable reliability evaluation framework.
Works effectively across various noise models and quantum devices.
Abstract
Evaluating the reliability of noisy quantum circuits is essential for implementing quantum algorithms on noisy quantum devices. However, current quantum hardware exhibits diverse noise mechanisms whose compounded effects make accurate and efficient reliability evaluation challenging. While state fidelity is the most faithful indicator of circuit reliability, it is experimentally and computationally prohibitive to obtain. Alternative metrics, although easier to compute, often fail to accurately reflect circuit reliability, lack universality across circuit types, or offer limited interpretability. To address these challenges, we propose a fine-grained, scalable, and interpretable framework for efficient and accurate reliability evaluation of noisy quantum circuits. Our approach performs a state-independent analysis to model how circuit reliability progressively degrades during execution.…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Radiation Effects in Electronics · Quantum Information and Cryptography
