Computational Intelligence Beyond Classical Limits
The AI & Quantum Center represents the computational frontier of BCCI, integrating artificial intelligence and quantum computing to address biological complexity at scale. The center develops advanced algorithms, models, and simulation frameworks capable of analyzing multi-omics data and solving problems beyond the reach of conventional computing.
By combining AI-driven learning with quantum-enhanced computation, the center enables predictive modeling, molecular optimization, and system-level simulations critical for Medicine 3.0.
Quantum Machine Learning
Learning in High Dimensional Biological Spaces
Quantum Machine Learning explores hybrid classical-quantum models that enhance pattern discovery, feature extraction, and optimization in complex biomedical datasets. These approaches are particularly suited for multimodal aging data with high dimensionality and non-linear interactions.
Quantum Simulation
Modeling Complex Biological and Molecular Systems
Quantum Simulation focuses on modeling molecular interactions, biological networks, and dynamic systems that are computationally intractable with classical methods. Applications include protein interactions, drug binding, and complex system dynamics relevant to aging and disease.
AI-QC Convergence
Hybrid Intelligence for Biomedical Discovery
AI-QC Convergence leverages artificial intelligence with quantum computing to create next-generation discovery platforms. This hybrid approach enables efficient exploration of large solution spaces, accelerating drug discovery, biomarker strategy, and system-level inference.
Yonsei-IBM Quantum Computing Center (Facility)
A National-Scale Quantum Research Infrastructure
The Yonsei-IBM Quantum Computing Center provides direct access to advanced quantum computing hardware and software environments. As a core facility within BCCI, it supports algorithm development, hybrid AI-quantum research, and cross-disciplinary collaborations across biomedical and computational sciences.