How IBM Research helped prepare the IBM z17 for tomorrow’s workloads
News
Peter Hess
Blog
Categories
Popular topics
AI and quantum computing: How IBM showed up at SXSW 2025
NewsMike MurphyGrowing the global quantum ecosystem
ExplainerDaiju Nakano, Kouichi Semba (University of Tokyo), and Jerry ChowIBM’s quantum-safe signature schemes advance in NIST’s PQC process
Technical noteWard Beullens and Luca De FeoAI from deep cloud to far-edge: A flawless end-to-end experience
Technical noteSiddhika Nevrekar, Andreas Kuhmichel, Gaurav Garg, Eric Dulkeith, and Rojan JoseHow real researchers are using Qiskit circuit functions to accelerate their experiments
ExplainerSuhare Nur, Sanket Panda, Francisco Martin, SheshaShayee Raghunathan, and Robert DavisIBM’s Mikhail Yurochkin wants to make AI’s “cool” factor tangible
ResearchKim MartineauHow we slimmed down Granite Guardian
ReleaseKush Varshney and Mike MurphyHow close are we to real AI reasoning?
Q & APeter HessThe next evolution of IBM Quantum Platform: How to prepare for the transition
NewsJulianna Roberts, Leron Gil, Kayla Lee, Fran Cabrera, Sean Dague, and Robert DavisIBM Granite now has eyes
ResearchKim MartineauReasoning in Granite 3.2 using inference scaling
ResearchLuis LastrasIntroducing the GneissWeb dataset
Technical noteHajar Emami Gohari, Swanand Kadhe, Syed Yousaf Shah, and Bishwaranjan BhattacharjeeIBM’s new benchmark changes monthly to avoid teaching to the test
ResearchKim MartineauMelting magnets with utility-scale quantum simulation: Researchers explore condensed-matter physics phenomena
ResearchEdward H. Chen and Robert DavisWhy a decades old architecture decision is impeding the power of AI computing
ExplainerPeter HessAI agents have the potential to revolutionize work — and now you can measure if they actually are
ReleaseMike Murphy
