A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima. - Taehee Ko; Xiantao Li (CoRR, 2022)

Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms. - Taehee Ko; Xiantao Li; Chunhao Wang (CoRR, 2023)

Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity. - Xingyi Guan; Joseph P. Heindel; Taehee Ko; Chao Yang; Teresa Head-Gordon (Nat. Comput. Sci., 2023)

Stochastic algorithms for self-consistent calculations of electronic structures. - Taehee Ko; Xiantao Li (Math. Comput., 2023)

Ground-State Energy and Related Properties Estimation in Quantum Chemistry with Linear Dependence on the Number of Atoms. - Taehee Ko; Xiantao Li; Chunhao Wang (QCE, 2024)

Quantum random power method for ground state computation. - Taehee Ko; Hyowon Park; Sangkook Choi (CoRR, 2024)

Quantum medical image encoding and compression using Fourier-based methods. - Taehee Ko; Inho Lee; Hyeong Won Yu (CoRR, 2025)

Classical optimization algorithms for diagonalizing quantum Hamiltonians. - Taehee Ko; Sangkook Choi; Hyowon Park; Xiantao Li (CoRR, 2025)