Quantum error correction researcher
I am a Master's student in Computer Engineering at the University of New Mexico, advised by Prof. Milad Marvian. My research focuses on automated qLDPC code discovery and optimization, including hypergraph product and bivariate bicycle codes.
I develop Python and HPC research pipelines using combinatorial search, low-weight logical-operator analysis, BP+OSD decoding, and Monte Carlo evaluation. My broader interests include neural decoding, logical computation, and hardware-aware quantum error correction. Before moving into QEC, I built production software and data-intensive systems for startups and research teams.
Dayeon Yoo and Milad Marvian
A search framework for identifying stronger qLDPC code constructions by suppressing low-weight logical patterns, without relying on repeated logical-error-rate simulations during candidate ranking.
Automated search for hypergraph product and bivariate bicycle codes.
BP+OSD decoding, logical-operator analysis, and Monte Carlo performance evaluation.
Quantum error correction for neutral-atom and trapped-ion architectures.
University of New Mexico
University of New Mexico
University of New Mexico
Divers
MS in Computer Engineering
Quantum Information Science emphasis
BS in Computer Engineering
Graduated with highest honors
CQuIC Special Seminar
UNM QEC
University of New Mexico
QU-REACH Poster
Product engineering · 2022–2024
Led full-stack development of a community platform for Korean nurses, from architecture and deployment to product iteration and team mentorship.
Visit website ↗AI application · 2024
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Built an interactive educational platform using NASA FIRMS data to explain how wildfires affect interconnected Earth systems.
View project ↗