| Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity X Guan, JP Heindel, T Ko, C Yang, T Head-Gordon Nature Computational Science 3 (11), 965-974, 2023 | 29 | 2023 |
| Random coordinate descent: a simple alternative for optimizing parameterized quantum circuits Z Ding, T Ko, J Yao, L Lin, X Li Physical Review Research 6 (3), 033029, 2024 | 15 | 2024 |
| Implementation of the density-functional theory on quantum computers with linear scaling with respect to the number of atoms T Ko, X Li, C Wang arXiv preprint arXiv:2307.07067, 2023 | 8 | 2023 |
| Using diffusion maps to analyze reaction dynamics for a hydrogen combustion benchmark dataset T Ko, JP Heindel, X Guan, T Head-Gordon, DB Williams-Young, C Yang Journal of Chemical Theory and Computation 19 (17), 5872-5885, 2023 | 7 | 2023 |
| Stochastic algorithms for self-consistent calculations of electronic structures T Ko, X Li Mathematics of Computation 92 (342), 1693-1728, 2023 | 7 | 2023 |
| A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima T Ko, X Li Journal of Machine Learning 2 (Issue 2), 138-160, 2023 | 6 | 2023 |
| Optimal interpolation-based coordinate descent method for parameterized quantum circuits Z Lai, J Hu, T Ko, J Wu, D An arXiv preprint arXiv:2503.04620, 2025 | 2 | 2025 |
| Quantum random power method for ground state computation T Ko, H Park, S Choi arXiv preprint arXiv:2408.08556, 2024 | 2 | 2024 |
| Ground-State Energy and Related Properties Estimation in Quantum Chemistry with Linear Dependence on the Number of Atoms T Ko, X Li, C Wang 2024 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2024 | 1 | 2024 |
| Interpolation-based coordinate descent method for parameterized quantum circuits Z Lai, J Hu, T Ko, J Wu, D An Communications Physics, 2026 | | 2026 |
| Classical optimization algorithms for diagonalizing quantum Hamiltonians X Li, S Choi, H Park, T Ko Physica Scripta 100 (10), 105101, 2025 | | 2025 |
| Fermionic-Adapted Shadow Tomography for dynamical correlation functions T Ko, M Han, S Choi arXiv preprint arXiv:2508.03192, 2025 | | 2025 |
| Quantum medical image encoding and compression using Fourier-based methods T Ko, I Lee, HW Yu arXiv preprint arXiv:2505.06471, 2025 | | 2025 |
| Beyond potential energy surface benchmarking: a complete application of machine learning to chemical reactivity X Guan, J Heindel, T Ko, C Yang, T Head-Gordon arXiv preprint arXiv:2306.08273, 2023 | | 2023 |
| Stochastic Algorithms for Some Problems in Chemistry and Machine Learning T Ko The Pennsylvania State University, 2023 | | 2023 |
Li XiantaoDepartment of mathematics, the Pennsylvania State UniversityVerified email at math.psu.edu
