2 citations · 4 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
NNQS-AFQMC: Neural network quantum states enhanced fermionic quantum Monte Carlo
Zhi-Yu Xiao, Bowen Kan, Huan Ma +2
We introduce an efficient approach to implement neural network quantum states (NNQS) as trial wavefunctions in auxiliary-field quantum Monte Carlo (AFQMC). NNQS are a recently deve…
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…
Rapidly Achieving Chemical Accuracy with Quantum Computing Enforced Language Model
Honghui Shang, Xiongzhi Zeng, Ming Gong +11
Finding accurate ground state energy of a many-body system has been a major challenge in quantum chemistry. The integration of classic and quantum computers has shed new light on r…