68 citations · 203 across the 17 of their papers we have counts for
17 papers
Solving Schrödinger Equation with a Language Model
Honghui Shang, Chu Guo, Yangjun Wu +2
Accurately solving the Schrödinger equation for intricate systems remains a prominent challenge in physical sciences. A paradigm-shifting approach to address this challenge involve…
NNQS-Transformer: an Efficient and Scalable Neural Network Quantum States Approach for Ab initio Quantum Chemistry
Yangjun Wu, Chu Guo, Yi Fan +2
Neural network quantum state (NNQS) has emerged as a promising candidate for quantum many-body problems, but its practical applications are often hindered by the high cost of sampl…
Towards practical and massively parallel quantum computing emulation for quantum chemistry
Honghui Shang, Yi Fan, Li Shen +5
Quantum computing is moving beyond its early stage and seeking for commercial applications in chemical and biomedical sciences. In the current noisy intermediate-scale quantum comp…
A real neural network state for quantum chemistry
Yangjun Wu, Xiansong Xu, Dario Poletti +3
The restricted Boltzmann machine (RBM) has been successfully applied to solve the many-electron Schrdinger equation. In this work we propose a single-layer fully c…
Differentiable matrix product states for simulating variational quantum computational chemistry
Chu Guo, Yi Fan, Zhiqian Xu +1
Quantum Computing is believed to be the ultimate solution for quantum chemistry problems. Before the advent of large-scale, fully fault-tolerant quantum computers, the variational…
Divide-and-conquer variational quantum algorithms for large-scale electronic structure simulations
Huan Ma, Yi Fan, Jie Liu +3
Exploring the potential application of quantum computers in material design and drug discovery has attracted a lot of interest in the age of quantum computing. However, the quantum…