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

(See also Google Scholar. * Equal contribution.)

Robust high-order quantum simulation using finite-width pulses
Leeseok Kim, Milad Marvian
arXiv:2603.15502 (2026)
[arXiv]

High-order dynamical decoupling in the weak-coupling regime
Leeseok Kim, Milad Marvian
arXiv:2602.05343 (2026)
[arXiv]

Faster Randomized Dynamical Decoupling
Changhao Yi, Leeseok Kim, Milad Marvian
Physical Review Letters 136, 010601 (2026)
Accepted as a talk at QSim 2025 [Recorded Talk]
[Journal] [arXiv]

High-order Zeno sequences
Kasra Rajabzadeh Dizaji, Leeseok Kim, Milad Marvian, Christian Arenz
Physical Review Research 8 (2), 023051 (2026)
[Journal] [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*, Daniel K. Park
Quantum Machine Intelligence 4 (1), 3 (2022)
[Journal] [arXiv]