Undergraduate Researcher @ Quailab, Pusan National University
Quantum Annealing × Molecular Docking · QUBO · D-Wave Advantage2 · Hardware-aware Bayesian Optimization
📧 sjunh027@pusan.ac.kr (academic) · sjunh02@naver.com (personal)
I'm an undergraduate researcher at the Quantum Artificial Intelligence Lab (Quailab), School of Computer Science and Engineering, Pusan National University, advised by Prof. Won-Joo Hwang.
My research is about making dense, constraint-heavy QUBO workloads run reproducibly on real quantum annealers (D-Wave Advantage2), applied to molecular docking in structure-based drug discovery. I also build web applications, with a frontend background from the Kakao Tech Campus program.
- 🔬 Quantum annealing · QUBO formulation · hardware-aware tuning (penalty scaling, minor-embedding, chain strength, anneal schedules)
- 🧬 Molecular docking · feature-atom-matching (FAM) QUBO encoding · Bayesian optimization
- 💻 Frontend engineering (React / JavaScript)
QDock: Hardware-Aware Quantum Annealing for Molecular Docking First-author work, presented as a poster at AQC 2026 (Adiabatic Quantum Computing Conference, Tokyo). A calibration framework that runs Bayesian optimization over a physically-bounded penalty domain, then sweeps chain strength / anneal time / schedule shape under a frozen, embedding-isolated configuration, producing target-specific, reproducible recipes for docking QUBOs on sparse-connectivity QPUs.
→ Full method, results, and reproducibility details: SonJH7/qdock-aqc2026 (code & data release in progress)
| Period | Role | Organization |
|---|---|---|
| 2025.09 ~ Present | Undergraduate Researcher | Quantum AI Lab (Quailab), Pusan National University |
| 2025.03 ~ 2025.11 | Frontend Track | Kakao Tech Campus (3rd cohort) |
Quantum / Research
Web / Frontend
- 🥉 Encouragement Award, Regional Issues Capstone Design Competition (지역현안 Capstone Design 경진대회)
- 📜 ADSP (Advanced Data Analytics Semi-Professional)
- 📜 SQLD (SQL Developer)