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 (SNU), supported by NRF, IITP, and ETRI.
My research focuses on theoretical computer science aspects of quantum systems, particularly quantum learning theory and quantum complexity theory, as well as their connections to quantum many-body physics.
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, SNU (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 Kabgyun Jeong at RIM SNU.
📄 Curriculum Vitae (CV)
🔗 LinkedIn, Google Scholar, X (formerly Twitter)
📧 junseolee (at) fas.harvard.edu (primary)
📧 junseolee (at) snu.ac.kr (SNU-related)
Selected Papers
Full publication list available here.
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Certifying and learning local quantum Hamiltonians
with Andreas Bluhm, Matthias C. Caro, Francisco Escudero Gutiérrez, Aadil Oufkir, Cambyse Rouzé, Myeongjin Shin
Contributed talk at TQC (2026).
[PDF], [TQC 2026] -
Efficient learning of bosonic Gaussian unitaries
with Marco Fanizza, Vishnu Iyer, Antonio Anna Mele, Francesco Anna Mele
Contributed talk at QIP (2026).
[PDF], [Slides], [QIP 2026] -
Resource-efficient algorithm for estimating the trace of quantum state powers
with Myeongjin Shin, Seungwoo Lee, Kabgyun Jeong
Quantum (2025).
[PDF], [Journal], [Slide], [Poster], [Property Testing Review]