4 papers
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…
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…
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…
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 architec…