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cs.DC2026
StateFlow: Sequence Pipeline Parallelism for Long-Context Modeling with Linear Recurrence
Wenxuan Zhao, Yingfa Chen, Xu Han +7
Long-context training is increasingly important for large language models, and linear attention and state space models have become popular for improving long-context efficiency. Ho…
cs.DC2025
FastMPS: Revisit Data Parallel in Large-scale Matrix Product State Sampling
Yaojian Chen, Si-Qiu Gong, Lin Gan +5
Matrix Product State (MPS) is a versatile tensor network representation widely applied in quantum physics, quantum chemistry, and machine learning, etc. MPS sampling serves as a cr…
cs.DC2025
SW-TNC : Reaching the Most Complex Random Quantum Circuit via Tensor Network Contraction
Yaojian Chen, Zhaoqi Sun, Chengyu Qiu +5
Classical simulation is essential in quantum algorithm development and quantum device verification. With the increasing complexity and diversity of quantum circuit structures, exis…