Chan, Garnet K.

Advisor — 11 thesises

• Peng, Ruojing — Classical Representation and Manipulation of Quantum Many Body States and High Dimensional Data (2025, Dissertation (Ph.D.))
• Yu, Jason Miao — Coupled Cluster Green's Functions for Periodic Systems: Ab-Inito Computation and Applications (2019, Master's thesis)
• Li, Rui — Efficient Evaluation of Coulomb Interactions for Large-Scale Quantum Chemistry (2026, Dissertation (Ph.D.))
• Gao, Yang — Extending the Capability of Classical Quantum Many-Body Methods (2022, Dissertation (Ph.D.))
• Sun, Chong — Finite Temperature Simulations of Strongly Correlated Systems (2021, Dissertation (Ph.D.))
• Peng, Linqing — Harnessing Locality for Scalable Strongly Correlated Electron Simulations (2025, Dissertation (Ph.D.))
• Ye, Erika — Reducing Computational Costs for Many-Body Physics Problems (2021, Dissertation (Ph.D.))
• Yang, Junjie — Scalable Ab Initio Quantum Many-Body Methods for Crystalline Materials (2026, Dissertation (Ph.D.))
• Helms, Phillip Laurence — Tensor Network Methods for Nonequilibrium Statistical Mechanics (2021, Dissertation (Ph.D.))
• Cui, Zhi-Hao — Towards Ab Initio Simulations of High-Temperature Superconductivity (2023, Dissertation (Ph.D.))
• O'Rourke, Matthew John — Towards High-Accuracy Simulations of Strongly Correlated Materials Using Tensor Networks (2023, Dissertation (Ph.D.))