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20242026
most citedQuantum-centric machine learning for molecular dynamics

1 citations · 1 across the 8 of their papers we have counts for

collaborators

8 papers

quant-ph2026

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…

physics.chem-ph2026

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…

physics.chem-ph2025★ 1 cited

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…

quant-ph2025

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…

quant-ph2024

Circuit-Efficient Qubit-Excitation-based Variational Quantum Eigensolver

Zhijie Sun, Jie Liu, Zhenyu Li +1

The wave function Ansatze are crucial in the context of the Variational Quantum Eigensolver (VQE). In the Noisy Intermediate-Scale Quantum era, the design of low-depth wave functio…

quant-ph2024

Quantum Equation-of-Motion Method with Single, Double, and Triple Excitations

Yuhan Zheng, Jie Liu, Zhenyu Li +1

The quantum equation-of-motion (qEOM) method with singles and doubles has been suggested to study electronically excited states while it fails to predict the excitation energies do…

quant-ph2024

Variational-Cartan Quantum Dynamics Simulations of Excitation Dynamics

Linyun Wan, Jie Liu, Zhenyu Li +1

Quantum dynamics simulations (QDSs) are one of the most highly anticipated applications of quantum computing. Quantum circuit depth for implementing Hamiltonian simulation algorith…

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…