الباحثون

Kai Lu

المنشورات 2

نسخة أولية وصول مفتوح

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

Zhihao Wu, Kechengqi Zhu, Shichuan Xue وآخرون · 2026

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 …

نسخة أولية وصول مفتوح

PulseInfer: I/O-Centric Sparse KV Cache Offloading for Efficient Long-Context LLM Decoding

Qiuyang Zhang, Kai Zhou, Kai Lu وآخرون · 2026

Long-context LLM serving is increasingly bottlenecked by decode, where large KV caches limit batch size and underutilize GPUs. Sparse KV cache offloading expands effective capacity by storing most historical KV blocks in CPU DRAM and recalling only selected blocks on demand. However, we find that existing offloading sy …

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