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Xin-Fang Zhang

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Preprint Oct 2026

Quantitative Rules for Parallel Calibration and Drift-Resilient Maintenance of Large-Scale Superconducting Quantum Processors

As superconducting quantum processors scale toward hundreds of qubits, manual calibration becomes increasingly costly and difficult to sustain. Here we address two system-level factors governing automated calibration, namely, crosstalk induced by parallel operations and temporal drift of control parameters. On a 66-qub...

Zhi-Hao Wu, Kechengqi Zhu, Shi-Chuan Xue et al. · 0 citations
Preprint Aug 2026

Lifting connectivity bottlenecks in superconducting quantum processors via enriched native two-qubit gates

This work establishes native-gate engineering as a practical approach to mitigating connectivity constraints in superconducting quantum processors by using the AshN control scheme, where rich two-qubit control on every nearest-neighbour pair allows a logical interaction and the required qubit routing to be merged into...

Han-Yi Wang, Jing-Zhe Guo, Lijun Sun et al. · 1 citation

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