most citedTransformer-Based Neural Networks Backflow for Strongly Correlated Electronic Structure

2 citations · 2 across the 1 of their papers we have counts for

collaborators

3 papers

quant-ph2025★ 2 cited

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…

physics.chem-ph2025

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…

quant-ph2025

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…