3 papers
physics.chem-ph2026
Learning to Rank for Selected Configuration Interaction
Wan Nie, Songwei Liu, Yingying Yu +2
The accurate description of electron correlation is a central challenge in computational chemistry, with selected configuration interaction (SCI) emerging as a powerful tool to app…
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…