2 citations · 4 across the 6 of their papers we have counts for
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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…
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…