2 citations · 4 across the 6 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
physics.chem-ph2026
Foundation Neural-Network Quantum States for Molecular Potential Energy Surfaces in Second Quantization
Lizhong Fu, Jianan Wei, Wenguan Wang +1
Second-quantized neural-network quantum states have achieved accurate molecular energies, but extending them across molecular geometries requires a shared representation of the geo…
physics.chem-ph2026
Scaling Neural Network Quantum States for Ab Initio Quantum Chemistry
Chenxi Yu, Hanlin Kong, Jianan Wei +4
Neural-network quantum states (NNQSs) can represent many-electron wave functions without explicitly enumerating the determinant space, but their accuracy depends jointly on model s…
quant-ph2026
Transformer refined quantum sampling for strongly correlated electronic structure
Xiongzhi Zeng, Ming Gong, Bowen Kan +18
Although quantum computing offers a promising solution for strongly correlated system simulation, existing algorithms face significant bottlenecks on current noisy intermediate-sca…