CV
A compact research snapshot, education timeline, and current teaching activity.
Basics
| Name | Myeongjin Shin |
| Label | Researcher |
| hanwoolmj2@gmail.com | |
| Phone | (+82) 10-3422-2418 |
| Url | https://myeongjinshin.github.io |
| Summary | Undergraduate researcher at KAIST working on quantum learning theory, quantum algorithms, quantum property testing, and open quantum systems. |
Work
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2026.05 - 2026.08 Undergraduate Research Fellow
Caltech SURF program
Accepted to the 2026 Caltech SURF program; working under Yu Tong and John Preskill on practical learning problems for open quantum systems.
- Practical Hamiltonian/Lindbladian learning
- Rapid mixing
- Open quantum systems
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2025.11 - Current Undergraduate Researcher
KAIST Physics Quantum Information Theory Group
- Quantum Hamiltonian learning
- Continuous variable quantum systems
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2022.02 - Current Undergraduate Researcher
Institute of Computer Technology, SNU Team QST
- Quantum property testing and estimation
- Quantum algorithms
- Quantum singular value transformation
Education
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2021.02 - 2027.08 Daejeon, South Korea
BS
Korea Advanced Institute of Science and Technology (KAIST)
School of Computing, Department of Mathematical Sciences
Publications
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2026.04.27 -
2026.03.31 Certifying and learning local quantum Hamiltonians
TQC 2026 contributed talk, arXiv preprint
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2025.12.10 Optimal certification of constant-local Hamiltonians
arXiv preprint
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2025.09.09 -
2024.12.12 -
2024.02.09 Estimating quantum mutual information through a quantum neural network
Quantum Information Processing
Languages
| Korean | |
| Native speaker |
| English | |
| Fluent (TOEFL iBT 108) |
Interests
| Quantum Information Theory | |
| Quantum Singular Value Transformation | |
| Quantum Property Testing and Estimation | |
| Quantum Algorithms | |
| Quantum Hamiltonian Learning | |
| Open Quantum Systems | |
| Quantum Error Correction |
References
| Prof. Yu Tong | |
| Prof. Yu Tong is a professor at Duke University. He has been a mentor for the Caltech SURF program and a collaborator on practical quantum algorithms for open quantum systems, especially practical quantum Hamiltonian learning. |
| Prof. Changhun Oh | |
| Prof. Changhun Oh is a professor at KAIST. He has been a mentor and collaborator on quantum Hamiltonian learning and continuous-variable systems. |
| Dr. Kabgyun Jeong | |
| Dr. Kabgyun Jeong is a researcher at SNU. He has been a mentor and collaborator on quantum property testing and estimation, quantum algorithms, and quantum singular value transformation. |