Seonjun Hwang
Undergraduate Researcher, RAISE LAB, Yonsei University
Responsibilities
- Project coordination and experimental structure design
- Code environment setup and integration management
- EQGC-based graph invariant implementation
- Comprehensive experimental results analysis
Project Reflection
"We were able to empirically verify that quantum circuits can capture structural information different from classical message-passing approaches. This project was meaningful as it allowed me to experience both responsibility and growth as team leader."
Hongjun Jeon
Department of Software, Yonsei University
Responsibilities
- Classical baseline implementation (Power Method)
- VQE surrogate practical implementation
- Laplacian λ₂ approximation experiments
- Graph family sweep management
Project Reflection
"It was fascinating to directly experience how classical approximation and VQE essentially optimize the same quadratic form in different languages."
Sehee Park
Department of Software, Yonsei University
Responsibilities
- QAOA implementation and Max-Cut optimization
- Quantum noise impact analysis
- p=1, p=2 structure performance comparison
- Depolarizing/Amplitude damping experiments
Project Reflection
"I confirmed that the principle of quantum circuits directly reflecting graph structures to solve optimization problems actually works in practice."
Dongwon Lee
Department of Software, Yonsei University
Responsibilities
- Theoretical background research and documentation
- PPT creation and visualization
- 1-WL, EQGC, EDU concept organization
- Variational Hamiltonian analysis
Project Reflection
"I realized that QGNN's expressiveness depends not just on circuit structure, but on readout design and hyperparameter selection for performance."
Hyun Lee
Department of Software, Yonsei University
Responsibilities
- QGNN learning components research and documentation
- Encoding methods analysis
- Barren Plateau phenomenon research
- Final PPT creation and presentation preparation
Project Reflection
"Experiencing firsthand how concepts from graph theory can be applied in quantum circuits made me appreciate the extensibility and importance of graph theory once again."
Team Collaboration Highlights
Systematic Role Distribution
Efficient task allocation leveraging each member's expertise
Knowledge Sharing
Mutual learning and discussion on quantum computing concepts
Successful Results
Completion of 3 core experiments with meaningful research outcomes