SC2025Top-tier venue
Matrix Is All You Need: Rearchitecting Quantum Chemistry to Scale on AI Accelerators
Haozhi Han, Kun Li, Fusong Ju, Qi Li, Hong An, Yifeng Chen, Yunquan Zhang, Ting Cao, Mao Yang
2025Year
2Citations
Abstract
Scientific computing remains fundamentally misaligned with the execution paradigm of modern AI accelerators, which rely on structured, low-precision matrix operations for performance and scalability. Quantum chemistry exemplifies this gap through three core scalability limits: irregular computational patterns, fragmented hardware utilization, and limited scientific reach.
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