Jul 2022 — Present
Undergraduate Researcher
Research Institute of Mathematics, Seoul National University
Investigating quantum machine learning and mutual-information maximizing quantum GANs.
Undergraduate Researcher · Quantum ML & Finance
Mingyu Lee
Hi, I’m Minkyu.
I am a senior and undergraduate researcher at Seoul National University, where my primary research focuses on quantum computing. Beyond my academic work, I am passionate about quant investing and competitive problem solving.
I genuinely enjoy discussing new ideas regardless of the topic. If you’d like to collaborate, have questions, or just want to connect, feel free to reach out at minkyu.lee65@gmail.com or red1108@snu.ac.kr. I’m always happy to hear from you!
Quantum computation and quantum information
Quantitative research and trading
Machine learning and its applications
Experience
Hands-on leadership across quantum research labs and systematic investing teams.
Feb 2024 — Nov 2025
Mandatory Military Service
Republic of Korea Air Force
Serving national duty while staying active in research reading and contest training.
Jul 2023 — Aug 2023
Research Intern
NCSOFT
Developed components of an AI-based ETF portfolio management system.
Mar 2022 — Jun 2022
Teaching Assistant
Seoul National University
Supported instruction for discrete mathematics.
Jan 2022 — Mar 2022
Data Intern
Rainbow Brain, Inc.
Collected e-commerce datasets and delivered analysis for product decisions.
Education
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Seoul National University · B.Sc. in Computer Science and Engineering; Double major in Mathematical Sciences
Mar 2021 — Present -
Gyeonggi Science High School for the Gifted · Computer Science
Mar 2018 — Feb 2021
Research Interests
Mutual Information Maximizing Quantum GANs
Designing quantum generative adversarial networks that maximize mutual information to stabilize training and improve sample fidelity (Scientific Reports 15, 32835, 2025).
Quantum machine learning
Generative models
Quantum information
Disentangled Quantum Neural Networks
Building disentangled quantum neural networks for unified estimation of quantum entropies and distance measures (Physical Review A 110, 062418, 2024).
Quantum neural networks
Entropy estimation
Variational algorithms
Quantum & Systematic Finance Methods
Applying quantum-inspired modeling and AI-based ETF portfolio research from NCSOFT internship and competition work to liquidity-aware strategies.
Portfolio research
Quantum finance
Algorithmic trading
News
- Nov 2025: Earned Bronze (8th) at the 2025 ICPC Seoul Regional and received the President’s Award of NIA.
- Nov 2025: Selected for the Korea–U.S. Advanced Industries Youth Exchange Scholarship (4th cohort).
- Dec 2024: Published "Disentangling quantum neural networks..." in Physical Review A 110, 062418.
- Jul 2023: Finished 7th at the 2023 UCPC Final Round.
- Jun 2023: Won 1st place at the 2023 Quantum Hackathon Korea (Ministry of Science and ICT Minister's Award).
- Feb 2023: Earned the QHack advanced certificate and Power-Up Awards from IBM Quantum/PINQ2 and NVIDIA/Cyxtera/Run:AI.