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Qufid Advances Quantum Program Fidelity Estimation with Adaptive Measurement Budgets

Researchers from Zhejiang University introduced QuFid, an adaptive framework that estimates quantum program fidelity by dynamically allocating measurement shots. By modeling circuits as directed acyclic graphs and integrating real‑time statistical feedback, QuFid quantifies structural complexity and hardware‑specific noise without pre‑calibrated models. The method computes an adaptive batch size based on spectral graph metrics and halts measurements once a confidence interval meets a target error bound. Experiments show up to 40% reduction in shot count while preserving estimation accuracy.