Ha Quang Huy

Worked on QSimPy, a simulation framework for quantum cloud resource management. Contributed to quantum circuit dataset generation, backend simulation, and reinforcement learning experiments for hybrid quantum-classical orchestration. Key Achievements: - Built the QACD Dataset Toolkit for structured quantum circuit collection. - Extended QSimPy to simulate backend noise, error rates, and runtime characteristics. - Automated data pipelines using FastAPI and quantum SDKs, reducing preprocessing time by 40%. - Integrated Gymnasium and Ray for RL-based quantum resource scheduling. - Developed validation tools and reproducible datasets for ML benchmarking.