Leeseok Kim

I’m a PhD candidate in the Department of Electrical and Computer Engineering at the University of New Mexico, advised by Milad Marvian. Before starting my PhD, I obtained my bachelors degrees in physics and mathematics at Cornell University.

My research focuses on quantum control, quantum simulation, and quantum algorithms. Recently, I’ve been thinking about designing new quantum control protocols that provably outperform existing methods. I’m also broadly interested in open quantum systems and learning theory.

Email: leeseok [at] unm [dot] edu

Publications

(also see Google Scholar)

Faster Randomized Dynamical Decoupling
Changhao Yi, Leeseok Kim, Milad Marvian
arXiv:2409.18369, 2024
Accepted as a talk at QSim 2025 [Recorded Talk]
[arXiv]

Hamiltonian Quantum Generative Adversarial Networks
Leeseok Kim, Seth Lloyd, Milad Marvian
Physical Review Research 6 (3), 033019, 2024
Accepted as a talk at AQC 2023
[Journal] [arXiv]

On the Moments of the Number of Hires in the Assistant Hiring Algorithm
Leeseok Kim, José Luis Palacios
Algorithms 16 (2), 70, 2023
[Journal]

Quantum convolutional neural network for classical data classification
Tak Hur, Leeseok Kim (co-first authors), Daniel K. Park
Quantum Machine Intelligence 4 (1), 3, 2022
[Journal] [arXiv]