IBM has released the industry’s first quantum‑centric supercomputing reference architecture, a blueprint showing how quantum processors (QPUs) can integrate with classical CPUs and GPUs across on‑premises systems, research centers, and the cloud. The architecture is designed to tackle scientific problems that cannot be solved by traditional computing alone.
The system combines quantum hardware with classical clusters, high-speed networking, and shared storage to handle complex workloads and support algorithm research. Integrated orchestration and open software frameworks, including Qiskit, allow scientists to access quantum capabilities through familiar workflows, applying them to chemistry, materials science, and optimization.
“More than four decades ago, Richard Feynman envisioned computers that could simulate quantum physics,” said Jay Gambetta, director of IBM Research and IBM Fellow. “Today’s quantum processors are beginning to tackle the hardest parts of scientific problems. The future lies in quantum-centric supercomputing, where quantum processors work with classical high-performance computing to solve problems previously out of reach. IBM is building the technology and systems to bring this future into reality today.”
IBM’s architecture is already producing results. Researchers from IBM, the University of Manchester, Oxford University, ETH Zurich, EPFL, and the University of Regensburg created a half‑Möbius molecule and verified its electronic structure using IBM’s quantum-centric system. Cleveland Clinic simulated a 303-atom tryptophan‑cage mini-protein, one of the largest molecular models run on such a system. Teams from IBM, RIKEN, and the University of Chicago identified the lowest-energy states of engineered quantum systems, outperforming classical-only approaches. RIKEN and IBM also simulated iron-sulfur clusters across IBM Quantum Heron and RIKEN’s 152,064-node Fugaku supercomputer.
As new quantum-centric algorithms emerge, IBM and partners, including Rensselaer Polytechnic Institute, aim to enhance orchestration across quantum and classical resources. This evolving ecosystem is expected to accelerate applications in chemistry, materials science, optimization, and beyond, scaling quantum computing’s real-world impact.