  Recent thousand-qubit processors represent a significant hardware
advancement, but current limitations prevent effective quantum error correction
(QEC), necessitating reliance on quantum error mitigation (QEM) to enhance
result fidelity from quantum computers. Our paper introduces a noise-aware
folding technique that enhances Zero-Noise Extrapolation (ZNE) by leveraging
the noise characteristics of target quantum hardware to fold circuits more
efficiently. Unlike traditional ZNE approaches assuming uniform error
distribution, our method redistributes noise using calibration data based on
hardware noise models. By employing a noise-adaptive compilation method
combined with our proposed folding mechanism, we enhance the ZNE accuracy of
quantum gate-based computing using superconducting quantum computers. This
paper highlights the uniqueness of our method, summarizes noise accumulation,
presents the scaling algorithm, and compares the reliability of our method with
those of existing models using linear extrapolation model. Experimental results
show that compared to existing folding methods, our approach achieved a 35%
improvement on quantum computer simulators and a 31% improvement on real
quantum computers, demonstrating the effectiveness of our proposed approach.
