Dr Nam Gyu Kim1, Dr In-Ho Joen1
1Korea Institute of Science and Technology Information, Daejeon, 대한민국
Biography:
Nam Gyu Kim is a Principal Researcher at the Korea Institute of Science and Technology Information (KISTI), where he leads R&D in high-performance computing (HPC), artificial intelligence, and quantum cloud platforms. He has contributed to national cyberinfrastructure initiatives including EDISON and e-Science, and supported global collaborations such as LIGO and Belle II. He holds a Ph.D. in Management of Technology from Sungkyunkwan University. His current focus is on building user-centric, scalable computing environments to support quantum and AI-driven research.
ORCiD: https://orcid.org/0000-0002-1777-979X
Abstract:
Quantum computing is a next-generation technology capable of solving problems intractable for classical computers. However, high costs, complex system configurations, and limited resources restrict researchers' access to quantum computers. We present a cloud-based quantum computing service platform that provides remote access to quantum computers for all users.
The platform offers an integrated JupyterLab-based development environment and runs on a Kubernetes microservice architecture with a scalable, user-friendly, and consistent workspace for developing and executing quantum experiments. It includes interactive visualization of quantum hardware characteristics (e.g., T1/T2 times, CZ error rates) that allow users to monitor and optimize their use of quantum hardware in real time. Also, it supports user-centric advanced features such as multi-job submission, resource optimization, and collaborative research. Furthermore, the implementation of role-based access control and credit-based resource allocation promotes fair distribution and efficient utilization of costly quantum resources. Within the JupyterLab environment, users can select various quantum software images and computational resources (CPU/GPU/memory), while administrators can monitor and optimize user experiment environments. This guarantees reproducibility and experimental efficiency while offering flexibility to accommodate diverse quantum programming paradigms.
In conclusion, this platform lowers the barrier to quantum information science, enhancing the productivity and efficiency of quantum research and algorithm development.