Junseo Lee

Hello! I’m Junseo Lee (also known as Harris).

I received my bachelor’s degree in Electrical and Electronic Engineering from Yonsei University, fully supported by the Hyundai Motor CMK Foundation. After completing my undergraduate studies, I fulfilled my mandatory military service in South Korea as a Technical Research Personnel, during which I spent three years conducting research in theoretical quantum computing. Since my undergraduate years, I have been affiliated with the Quantum Information Theory Group at the Research Institute of Mathematics, Seoul National University.

For more details, please see my Curriculum Vitae (CV). You can also find me on LinkedIn, Google Scholar, and on X (formerly Twitter).

I also maintain the Quantum Learning Theory Zoo, a curated reference page collecting key works in quantum learning theory. If you’re interested in this rapidly growing field, feel free to explore and share it!

Research Interests

Recently, my primary research focuses on the following topics:

• Quantum tomography, learning, and many-body theory
• Quantum complexity theory
• Quantum algorithms
• Quantum Shannon theory
• Continuous-variable quantum information

I am also broadly interested in theoretical computer science, mathematical physics, and computational topology. For a detailed overview of my research directions, please refer to my publications.

Recent Papers

• Optimal certification of constant-local Hamiltonians
  Junseo Lee^†, Myeongjin Shin
  arXiv:2512.09778 (2025).
  

• Efficient learning of bosonic Gaussian unitaries
  Marco Fanizza, Vishnu Iyer, Junseo Lee^†, Antonio Anna Mele, Francesco Anna Mele
  Accepted as a contributed talk at QIP 2026. arXiv:2510.05531 (2025).
  

• Resource-efficient algorithm for estimating the trace of quantum state powers
  Myeongjin Shin^✻, Junseo Lee^✻, Seungwoo Lee, Kabgyun Jeong
  Quantum 9, 1832 (2025).
  

Recent Teaching

This winter, I will teach a new course on Quantum Learning Theory for Bosonic Systems!

I recently taught Quantum Learning and Complexity Theory (Summer 2025) and led the Quantum Complexity Theory Reading Group (Fall 2025).