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
Maximum-likelihood decoding (MLD) achieves the minimum logical error rate of stabilizer codes under known i.i.d. Pauli noise, but its exact evaluation is \#P-hard. Practical pipelines therefore approximate MLD by minimum-weight decoding (MWD), retaining only the lowest-weight recovery per syndrome and discarding the co...
Yuan-Qi Liu, Wei-Lei Zeng, Jun-Jie Wu et al.· 0 citations
Simulation of quantum many-body systems is a principal application of quantum computing, but available devices remain limited by the number of qubits and cannot accommodate systems of the desired size. One approach is to host a large evolution across several modest distributed systems that exchange classical informatio...
Yong Liu, Guang-Yao Huang, Wei-Xu Shi et al.· 0 citations
This work presents a scalable framework for real-time decoding in fault-tolerant quantum computing that can be readily applied to quantum-centric supercomputers that feature tight integration between QPU and HPC resources, thereby enabling efficient support for hybrid quantum-classical algorithms and computation-intens...
Ling-Ling Lao, Qiang Wang, Yuan-Qi Liu et al.· 1 citation
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