Quantum Algorithm Engineer at IBM
Quantum Algorithms · Quantum Simulation · Quantum Chemistry

I work on quantum algorithms, scientific applications of quantum computing, and technical education.

My research focuses on reliable and resource-efficient approaches to quantum simulation, including:

• quantum Krylov subspace methods,
• quantum phase estimation and spectral filtering,
• quantum simulation and quantum chemistry,
• measurement optimization and sampling-error reduction,
• near-term and early fault-tolerant quantum algorithms, and
• practical quantum-computing workflows using Qiskit.

A Python toolkit extending OpenFermion with tools for classical quantum simulation, measurement optimization, and quantum-algorithm research.

Key functionality includes:

• quantum-state and sparse-operator utilities,
• fermion-to-qubit transformations,
• Clifford operations,
• exact and Trotterized time evolution,
• Iterative Coefficient Splitting and Hamiltonian shifting,
• sampling-based simulation, and
• quantum Krylov subspace diagonalization.

Source code · Documentation

Raw data, numerical experiments, and figure-generation scripts accompanying:

Filtered Quantum Phase Estimation arXiv:2510.04294

The repository contains molecular problem instances, pre-generated numerical results, experiment scripts, and tools for reproducing the figures in the manuscript.

Reproducible code and numerical data accompanying:

Efficient Strategies for Reducing Sampling Error in Quantum Krylov Subspace Diagonalization Gwonhak Lee, Seonghoon Choi, Joonsuk Huh, and Artur F. Izmaylov arXiv:2409.02504

The repository provides scripts and data for reproducing results on Hamiltonian shifting, measurement allocation, measurement cost, and finite-sampling distributions in QKSD.

A collection of small numerical experiments and reusable research code.

A consolidated collection of notebooks developed for Qiskit hands-on workshops and educational sessions.

Current materials include:

• 20260330_Yonsei
• 20260508_SKKU
• 20260827_SKKU

Problem materials developed for QHackathon 2026, including the problem statement, participant guide, utility functions, requirements, and supporting assets.

An experimental implementation of a multiplayer Mafia game using GPT-based agents and clients.

• Curriculum vitae
• Non-archived repositories

For technical questions about an individual project, please open an issue in the corresponding repository.