CV
A compact research snapshot, education timeline, and current teaching activity.
Basics
| Name | Myeongjin Shin |
| Label | Researcher |
| hanwoolmj@kaist.ac.kr | |
| Phone | (+82) 10-3422-2418 |
| Url | https://myeongjinshin.github.io |
| Summary | Undergraduate researcher at KAIST working on quantum learning theory, Hamiltonian learning with single-qubit control, quantum algorithms, and quantum property testing. |
Work
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2026.05 - Current Undergraduate Research Fellow
Caltech SURF program
Accepted to the 2026 Caltech SURF program; researching Hamiltonian learning with single-qubit control under Prof. Yu Tong and Prof. John Preskill.
- Practical Hamiltonian learning with static single-qubit fields
- Certifying and learning Hamiltonians in the Heisenberg limit with single-qubit control
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2025.12 - Current Undergraduate Research Assistant
KAIST Physics Quantum Information Theory Group
Advisor: Prof. Changhun Oh.
- Hamiltonian learning
- Bosonic systems
- Fermionic systems
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2022.02 - Current Undergraduate Research Assistant
Research Institute of Mathematics, Seoul National University
Advisor: Dr. Kabgyun Jeong.
- Quantum entropies
- Variational quantum algorithms
- Quantum property testing
- Quantum singular value transformation
Education
B.S. in Computing Science
Korea Advanced Institute of Science and Technology (KAIST)
Double major in Mathematical Sciences
GPA: 4.0 / 4.3
- Enrollment period includes a two-year academic leave for mandatory military service in the Republic of Korea.
Publications
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2026.04.27 Heisenberg-limited Hamiltonian learning without short-time control
AQIS 2026 long talk, arXiv preprint
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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, especially Hamiltonian learning with limited control. |
| Prof. John Preskill | |
| Prof. John Preskill is the Richard P. Feynman Professor of Theoretical Physics at Caltech and a mentor for the 2026 Caltech SURF program on 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. |