2 papers
cond-mat.str-el2026
Scaling Theory for Learning Low-Energy Quantum Subspaces
Guijing Duan, Chen Mo, Di Luo
Phase diagrams and energy surfaces require low-energy states across a family of Hamiltonians, but solving each parameter point independently is prohibitively expensive. An importan…
physics.comp-ph2026
Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations
Ken Deng, Xiangfei Wang, Guijing Duan +7
While large language models (LLMs) promise to revolutionize automated scientific discovery, their application in rigorous real-world physical research is stalled by two critical ba…