Seok-Hyung Lee
Theoretical quantum physicist

My name is Seok-Hyung Lee (이석형 in Korean), and I am a theoretical physicist specialising in quantum information and computation. My research primarily focuses on developing and optimising resource-efficient, fault-tolerant quantum computing strategies through quantum error correction. This includes areas such as decoding, logical operations, magic state preparation, syndrome extraction, and code construction.
Currently, I am an Assistant Professor in the Department of Quantum Information Engineering at Sungkyunkwan University (SKKU) in South Korea, where I began in Sep 2025.
Previously, from Mar 2023 to Sep 2025, I was a postdoc in the Quantum Theory Group at the University of Sydney in Australia, working with Prof. Stephen D. Bartlett on quantum error correction using 2D color codes.
From Mar 2017 to Feb 2023, I pursued my PhD at the Center for Macroscopic Quantum Control at Seoul National University in South Korea, under the guidance of Prof. Hyunseok Jeong. My doctoral research focused on measurement-based quantum computing in photonic platforms, culminating in my dissertation titled “Universal Resource-efficient Topological Measurement-based Quantum Computing”. From Mar 2013 to Feb 2017, I completed my undergraduate studies in Physics at the same university.
news
01 Sep 2025 | I joined Sungkyunkwan University (SKKU) (Suwon, South Korea) in September 2025 as an Assistant Professor in the Department of Quantum Information Engineering. I am excited to begin building my own research group! |
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31 Jul 2025 | My paper “Low-Overhead Magic State Distillation with Color Codes” has been published in PRX Quantum! |
28 Mar 2025 | Major update to our paper “Low-overhead magic state distillation with color codes”! Magic state cultivation is now integrated in our two-level scheme, achieving significant performance improvement. |
27 Jan 2025 | My paper “Color code decoder with improved scaling for correcting circuit-level noise” has been published in Quantum! It introduces a color code decoder that can correct circuit-level noise, achieving better sub-threshold scaling compared to existing matching-based decoders. |
selected publications
- PRX Quantum, Jul 2025
- Quantum, Jan 2025