A generalized class of strongly stable and dimension-free T-RPMD integrators. - Jorge L. Rosa-Raíces; Jiace Sun; Nawaf Bou-Rabee; Thomas F. Miller III (CoRR, 2020)

Molecular Energy Learning Using Alternative Blackbox Matrix-Matrix Multiplication Algorithm for Exact Gaussian Process. - Jiace Sun; Lixue Cheng; Thomas F. Miller III (CoRR, 2021)

Accurate Molecular-Orbital-Based Machine Learning Energies via Unsupervised Clustering of Chemical Space. - Lixue Cheng; Jiace Sun; Thomas F. Miller III (CoRR, 2022)

Molecular Dipole Moment Learning via Rotationally Equivariant Gaussian Process Regression with Derivatives in Molecular-orbital-based Machine Learning. - Jiace Sun; Lixue Cheng; Thomas F. Miller III (CoRR, 2022)

Molecular-orbital-based Machine Learning for Open-shell and Multi-reference Systems with Kernel Addition Gaussian Process Regression. - Lixue Cheng; Jiace Sun; J. Emiliano Deustua; Vignesh C. Bhethanabotla; Thomas F. Miller III (CoRR, 2022)

TensorCircuit: a Quantum Software Framework for the NISQ Era. - Shi-Xin Zhang; Jonathan Allcock; Zhou-Quan Wan; Shuo Liu; Jiace Sun; Hao Yu; Xing-Han Yang; Jiezhong Qiu; Zhaofeng Ye; Yu-Qin Chen; Chee-Kong Lee; Yicong Zheng; et al. (Quantum, 2023)

Stabilizer ground states for simulating quantum many-body physics: theory, algorithms, and applications. - Jiace Sun; Lixue Cheng; Shi-Xin Zhang (Quantum, 2025)