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From the 1 of 5 linked papers with an AI index.

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5 papers

quant-ph2026

Embedded quantum computing for many-body surface reaction

Dedong Wan, Xiaopeng Li, Yi Fan +3

The paper presents QC-DFET, a quantum‑computing density‑functional embedding framework that maps surface‑reaction active spaces onto compact qubit Hamiltonians and uses measurement…

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…

quant-ph2026

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…

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

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…