4 papers
A High-Performance Pauli-Algebra Framework for Large-Scale Quantum Simulations
Xiaopeng Li, Zhijie Sun, Yi Fan +3
Efficient manipulation of Pauli-algebraic objects is a key bottleneck in the classical emulation and benchmarking of quantum algorithms for chemistry and many-body physics. This bo…
Perturbative Variational Quantum Eigensolver via Reduced Density Matrices
Yuhan Zheng, Yibin Guo, Huili Zhang +5
Current noisy intermediate-scale quantum (NISQ) devices remain limited in their ability to perform accurate quantum chemistry simulations due to restricted numbers of high-fidelity…
V2Rho-FNO: Fourier Neural Operator for Electronic Density Prediction
Yingdi Jin, Xinming Qin, Ruichen Liu +3
Density functional theory (DFT) is a cornerstone of computational chemistry and materials science, but its computational cost limits its use in large-scale and high-throughput appl…
Quantum-centric machine learning for molecular dynamics
Yanxian Tao, Lingyun Wan, Xiongzhi Zeng +4
Accurate and efficient prediction of electronic wavefunctions is central to ab initio molecular dynamics (AIMD) and electronic structure theory. However, conventional ab initio met…