Scholar
Junseo Lee
Google Scholar ID: mal5ZI8AAAAJ
Theoretical Quantum Computing Researcher
Citations & Impact
Citations
37
H-index
3
i10-index
1
Publications
13
Co-authors
5
list available
Resume
Academic Achievements
- Recent papers:
- - Efficient learning of bosonic Gaussian unitaries (α−β) Marco Fanizza, Vishnu Iyer, Junseo Lee, Antonio Anna Mele, Francesco Anna Mele. Accepted as a talk at QIP 2026.
- - Resource-efficient algorithm for estimating the trace of quantum state powers Myeongjin Shin, Junseo Lee, Seungwoo Lee, Kabgyun Jeong. Published in Quantum 9, 1832 (2025).
Research Experience
- Currently a research scientist in theoretical quantum computing through an alternative national service program; previously a research assistant at the Quantum Information Theory Group at the Research Institute of Mathematics, Seoul National University.
Education
- Bachelor's degree in Electrical and Electronic Engineering from Yonsei University, fully supported by the Hyundai Motor Chung Mong-Koo Foundation.
Background
- Research interests: Quantum tomography, learning, and many-body theory, Quantum complexity theory, Quantum algorithms, Quantum Shannon theory, Quantum information processing with bosons. Broadly interested in theoretical computer science, mathematical physics, and computational topology.
Miscellany
- Contact: harris (dot) [first name, all lowercase] (at) gmail.com
- Other platforms: LinkedIn, Google Scholar, X (formerly Twitter)
- Maintains the Quantum Learning Theory Zoo, a curated reference page collecting key works in quantum learning theory.
