Leeseok Kim

Hey! I’m a postdoctoral researcher at the University of New Mexico, based primarily in the Theoretical Division (T-4) at Los Alamos National Laboratory, where I work with Luis Pedro García-Pintos. I completed my PhD in Computer Engineering at the University of New Mexico under the supervision of Milad Marvian. Before starting my PhD, I earned bachelor’s degrees in Physics and Mathematics from Cornell University.

I am broadly interested in the theoretical aspects of quantum computing, including quantum algorithms and simulation, quantum control theory, and open quantum systems. More recently, I became interested in quantum thermodynamics, quantum error correction, and quantum learning theory.

I am always open to new collaborations. Please feel free to contact me at the email address below.

Email: leeseok [at] unm [dot] edu

Publications

(See also Google Scholar. * Equal contribution.)

Randomized Quantum Optimal Control
Leeseok Kim, Francisco Riberi, Kevin Baca, Milad Marvian
arXiv:2607.10946 (2026)
[arXiv]

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]