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quant-ph2024
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…
quant-ph2023
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…
quant-ph2023
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…