
Minh Chung is a postdoctoral researcher at the Leibniz Supercomputing Centre (LRZ) in Munich, working at the intersection of High Performance Computing (HPC), quantum computing, and AI-driven system co-design. He earned his Ph.D. from Ludwig Maximilian University of Munich (LMU) in 2024, with a dissertation on proactive dynamic load rebalancing in distributed-memory systems. Before that, he completed master's and bachelor's degrees in computer science and engineering from HCMUT, VNU-HCM, Vietnam.
His current research focuses on HPC-quantum integration, including hybrid HPC-QC job scheduling, quantum circuit cutting and optimization, and reinforcement learning for compiler pass selection, as part of the Munich Quantum Software Stack (MQSS). One of his current collaborative projects, involving LRZ and partners including UCL, NVIDIA, IQM, and QMatter, is regarded as one of the first contributions to showcase a hybrid, large-scale HPC-quantum workflow for biomolecular simulation.
He is also active in the research community as a technical program committee member for conferences including Supercomputing (SC25/SC26), Computing Frontiers (CF25/CF26), and IEEE Quantum Education - QSEEC as part of IEEE Quantum Week. He also reviews for specialized conferences and journals including IEEE ICCD, IEEE Cluster, ACM Transactions on Parallel Computing, Journal of Systems Architecture, and Quantum Information Processing.











