Uploaded May 2026 | Updated September 2026, 1 week ago
Quantum-centric supercomputing (QCSC) is a new way to solve hard problems. It tightly integrates quantum computers with classical resources like CPUs and GPUs. QCSC promises to help us push past barriers of complexity and propel advances across some of the world’s most important research domains.
To learn more about our quantum-centric reference architecture, visit our site:
research.ibm.com/blog/quantum-centric-supercomputing-system-reference-architecture
#quantum #quantumcomputing #quantumcentricsupercomputing
Quantum-centric supercomputing (QCSC) is a new way to solve hard problems. It tightly integrates quantum computers with classical resources like CPUs and GPUs. QCSC promises to help us push past barriers of complexity and propel advances across some of the world’s most important research domains.
To learn more about our quantum-centric reference architecture, visit our site:
research.ibm.com/blog/quantum-centric-supercomputing-system-reference-architecture
#quantum #quantumcomputing #quantumcentricsupercomputing









![Why do AI models need to be safe?
IBM Fellow Kush Varshney explains how IBM Research is responding to the evolving safety risks associated with generative AI.
https://research.ibm.com/blog/map-measure-manage-gen-ai
Introduction [00:00]
Why do we need AI safety? [00:09]
Determining what is harmful [1:55]
Granite Guardian to detect risks [3:00]
Alignment vs. steerability [6:17]
How to AI models make decisions? [9:35]
Are certain steering methods more effective? [12:20]
Intrinsic functions for generative AI [16:06]
What is generative computing? [17:05]
Surprises and lessons learned [19:44]
Innovating responsibly [20:58]
Whats next for AI safety research [26:08]
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#ai #riskmanagement #generativeai Why do AI models need to be safe?](https://i.ytimg.com/vi/g2A7NUSa7qA/mqdefault.jpg)
