Junseo Lee
Update: I will be joining Harvard University in Fall 2026 as a PhD student in Quantum Science and Engineering, affiliated with the Harvard Quantum Initiative and the Theory of Computation Group.
I am currently a Research Fellow at the Institute of Computer Technology, Seoul National University, in a position supported by projects from the National Research Foundation of Korea (NRF), the Institute of Information & Communications Technology Planning & Evaluation (IITP), and the Electronics and Telecommunications Research Institute (ETRI).
My research focuses on theoretical computer science questions concerning quantum systems, particularly quantum learning theory and quantum complexity theory, as well as related problems in theoretical physics and pure mathematics, including quantum gravity and quantum topology.
Previously, I completed my mandatory military service in South Korea as a Technical Research Personnel, during which I was also a Research Affiliate at the Research Institute of Mathematics, Seoul National University (RIM SNU). Prior to that, I completed my undergraduate studies in Electrical and Electronic Engineering at Yonsei University on a full scholarship from the Hyundai Motor CMK Foundation, and worked with Dr. Kabgyun Jeong in the Quantum Information Theory Group at RIM SNU.
Profiles: LinkedIn, Google Scholar, X (formerly Twitter)
Email: junseolee (at) fas (dot) harvard (dot) edu
Selected Papers
Full publication list available here.
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Optimal certification of constant-local Hamiltonians
Junseo Lee†, Myeongjin Shin
arXiv Preprint (2025).
[PDF], [Property Testing Review] -
Efficient learning of bosonic Gaussian unitaries
Marco Fanizza, Vishnu Iyer, Junseo Lee†, Antonio Anna Mele, Francesco Anna Mele
arXiv Preprint (2025).
Contributed talk at QIP (2026).
[PDF], [Slides], [QIP 2026] -
Resource-efficient algorithm for estimating the trace of quantum state powers
Myeongjin Shin✻, Junseo Lee✻, Seungwoo Lee, Kabgyun Jeong
Quantum (2025).
[PDF], [Journal], [Slide], [Poster], [Property Testing Review]