2 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
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…
Harmonic Hierarchy of Altermagnetic Spin Splitting from Symmetry-Adapted Wavefunctions
Yixuan Che, Peibo Xu, Haifeng Lv +2
Altermagnets combine magnetic compensation with spin-momentum-locked splitting in the absence of spin-orbit coupling, yet existing descriptions, formulated primarily in terms of sp…
Transformer-Based Neural Networks Backflow for Strongly Correlated Electronic Structure
Huan Ma, Bowen Kan, Honghui Shang +1
Solving the electronic Schrödinger equation for strongly correlated systems remains one of the grand challenges in quantum chemistry. Here we demonstrate that Transformer architect…
Clifford augmented density matrix renormalization group for \textit{ab initio} quantum chemistry
Lizhong Fu, Honghui Shang, Jinlong Yang +1
The recently proposed Clifford augmented density matrix renormalization group (CA-DMRG) method seamlessly integrates Clifford circuits with matrix product states, and takes advanta…