Chan, Garnet

Combined from CaltechTHESIS advisor

• Peng, Linqing (2025) Harnessing Locality for Scalable Strongly Correlated Electron Simulations; 10.7907/6ffe-2j03
• Peng, Ruojing (2025) Classical Representation and Manipulation of Quantum Many Body States and High Dimensional Data; 10.7907/px31-5g53
• Cui, Zhi-Hao (2023) Towards Ab Initio Simulations of High-Temperature Superconductivity; 10.7907/y2qf-1f77
• O'Rourke, Matthew John (2023) Towards High-Accuracy Simulations of Strongly Correlated Materials Using Tensor Networks; 10.7907/wwka-as73
• Gao, Yang (2022) Extending the Capability of Classical Quantum Many-Body Methods; 10.7907/15dc-sd19
• Ye, Erika (2021) Reducing Computational Costs for Many-Body Physics Problems; 10.7907/xpvv-ar02
• Sun, Chong (2021) Finite Temperature Simulations of Strongly Correlated Systems; 10.7907/dchn-p020
• Helms, Phillip Laurence (2021) Tensor Network Methods for Nonequilibrium Statistical Mechanics; 10.7907/kram-8g47
• Yu, Jason Miao (2019) Coupled Cluster Green's Functions for Periodic Systems: Ab-Inito Computation and Applications; 10.7907/0P9H-ZQ15