IBM Publishes Blueprint for Quantum‑Centric Supercomputing
IBM has released the industry's first published reference architecture for quantum‑centric supercomputing, announced in a press release. The blueprint provides a framework for integrating quantum processors with classical computing components such as CPUs and GPUs across on‑premises systems, research centers, and cloud environments.
The architecture unifies quantum and classical systems into a single computing environment. It combines quantum hardware with CPU and GPU clusters, high‑speed networking, and shared storage to support computationally intensive workloads. This setup is designed to handle scientific challenges that require both quantum and traditional computing resources.
IBM's approach includes coordinated workflows that span quantum and classical systems. Through integrated orchestration and open software frameworks like Qiskit, developers and researchers can access quantum computing capabilities using familiar tools and workflows for applications in chemistry, materials science, and optimization.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 5 GDRTA Selects ConnXAI Maestro for Rider Communications Oct 5 Coco Robotics and Deliveroo Plan UK Robot Delivery Rollout Oct 5 Expand Energy Selects Thoughtworks for Companywide AI Program Oct 5 Cognizant Launches AI Services Unit for Emerging Enterprises Oct 5 Quantinuum and UWA Partner on Quantum Computing AccessEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Quantinuum and UWA Partner on Quantum Computing Access
Quantinuum Finalizes $100 Million CHIPS Funding Agreement
Qualcomm and Amazon to Develop Custom Silicon for AI Data Centers
Q.ANT Launches Open Source SDK for Photonic Computing
Q.ANT Names Joerg Behrend Vice President of Hardware
Daily AI Brief: the AI news that matters, in your inbox.