IBM has released the industry’s first published quantum‑centric supercomputing reference architecture, a new blueprint for integrating quantum computing into modern supercomputing environments.
The architecture shows how quantum processors (QPUs) can work alongside GPUs and CPUs – across on‑premises systems, research centers, and the cloud – in order to tackle scientific challenges that no single computing approach can solve on its own.
Designed for today’s workloads and built to evolve over time, the architecture brings quantum and classical systems together into a unified computing environment. It combines quantum hardware with powerful classical infrastructure, including CPU and GPU clusters, high‑speed networking, and shared storage, to support computationally intensive workloads and algorithms research.
On top of this foundation, IBM’s approach enables co-ordinated workflows that span quantum and classical computing.
Integrated orchestration and open software frameworks, including Qiskit, allow developers and scientists to access quantum capabilities through familiar tools and workflows – making it easier to apply quantum computing to problems in areas such as chemistry, materials science, and optimisation.
“More than four decades ago, Richard Feynman envisioned computers that could simulate quantum physics,” says Jay Gambetta, director of IBM Research and IBM Fellow. “At IBM, we’ve spent years turning that vision into reality.
“Today’s quantum processors are beginning to tackle the hardest parts of scientific problems – those governed by quantum mechanics in chemistry. The future lies in quantum-centric supercomputing, where quantum processors work together with classical high-performance computing to solve problems that were previously out of reach.
“IBM is building the technology and systems that brings this future of computing into reality today.”
Scientists are already using IBM’s quantum-centric architecture to deliver accurate results for real experiments. Recent results represent some of the strongest evidence yet that quantum computers combined with classical computing workflows can be used to accelerate scientific discovery:
- Researchers from IBM, the University of Manchester, Oxford University, ETH Zurich, EPFL, and the University of Regensburg created a first‑of‑its‑kind half‑Möbius molecule, verifying its unusual electronic structure with a quantum-centric supercomputer published in Science.
- Cleveland Clinic simulated a 303‑atom tryptophan‑cage mini‑protein, one of the largest molecular models ever executed on a quantum-centric supercomputer.
- A team from IBM, RIKEN, and the University of Chicago uncovered the lowest‑energy state of engineered quantum systems, outperforming state-of-the-art classical‑only approaches.
- RIKEN and IBM scientists achieved one of the largest quantum simulations of iron‑sulfur clusters, a fundamental molecule in biology and chemistry, through closed loop data exchange between a co-located IBM Quantum Heron processor and all 152,064 classical compute nodes of RIKEN’s Fugaku supercomputer.
- Algorithmiq, Trinity College Dublin, and IBM collaborators published methods in Nature Physics to accurately simulate many-body quantum chaos systems, such as collections of atoms and electrons, using classical compute resources for noise mitigation.