63 citations · 127 across the 25 of their papers we have counts for
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physics.chem-ph2022★ 20 cited
Interatomic force from neural network based variational quantum Monte Carlo
Yubing Qian, Weizhong Fu, Weiluo Ren +1
Accurate ab initio calculations are of fundamental importance in physics, chemistry, biology, and materials science, which have witnessed rapid development in the last couple of ye…
physics.chem-ph2022★ 63 cited
Towards the ground state of molecules via diffusion Monte Carlo on neural networks
Weiluo Ren, Weizhong Fu, Xiaojie Wu +1
Diffusion Monte Carlo (DMC) based on fixed-node approximation has enjoyed significant developments in the past decades and become one of the go-to methods when accurate ground stat…
quant-ph2022★ 19 cited
Efficient quantum imaginary time evolution by drifting real time evolution: an approach with low gate and measurement complexity
Yifei Huang, Yuguo Shao, Weiluo Ren +2
Quantum imaginary time evolution (QITE) is one of the promising candidates for finding eigenvalues and eigenstates of a Hamiltonian. However, the original QITE proposal [Nat. Phys.…