3 papers
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.DS2025
GenTT: Generate Vectorized Codes for General Tensor Permutation
Yaojian Chen, Tianyu Ma, An Yang +3
Tensor permutation is a fundamental operation widely applied in AI, tensor networks, and related fields. However, it is extremely complex, and different shapes and permutation maps…
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…