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Taehee Ko

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2020 – today

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2024
[i4]
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  - journals/corr/abs-2408-08556
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  - https://dblp.org/rec/journals/corr/abs-2408-08556
Taehee Ko, Hyowon Park, Sangkook Choi:
Quantum random power method for ground state computation. CoRR abs/2408.08556 (2024)
2023
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  - journals/moc/KoL23
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Taehee Ko, Xiantao Li:
Stochastic algorithms for self-consistent calculations of electronic structures. Math. Comput. 92(342): 1693-1728 (2023)
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  - journals/ncs/GuanHKYH23
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Xingyi Guan, Joseph P. Heindel, Taehee Ko, Chao Yang, Teresa Head-Gordon:
Using machine learning to go beyond potential energy surface benchmarking for chemical reactivity. Nat. Comput. Sci. 3(11): 965-974 (2023)
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  - journals/corr/abs-2307-07067
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Taehee Ko, Xiantao Li, Chunhao Wang:
Implementation of the Density-functional Theory on Quantum Computers with Linear Scaling with respect to the Number of Atoms. CoRR abs/2307.07067 (2023)
2022
[i2]
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  - journals/corr/abs-2203-10973
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Taehee Ko, Xiantao Li:
A Local Convergence Theory for the Stochastic Gradient Descent Method in Non-Convex Optimization With Non-isolated Local Minima. CoRR abs/2203.10973 (2022)
2021
[i1]
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  - journals/corr/abs-2107-01454
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Taehee Ko, Xiantao Li:
Stochastic Algorithms for Self-consistent Calculations of Electronic Structures. CoRR abs/2107.01454 (2021)

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