How low-precision computing boosts efficiency — without hurting accuracyExplainerPeter Hess17 Jan 2025AIAI Hardware
Inside the lab testing some of the world’s most capable AI chipsDeep DiveMike Murphy15 Jan 2025AI Hardware
Using dynamic circuits to efficiently implement quantum states with long-range entanglementResearchSimone Cantori, Marcel Pfaffhauser, Elisa Bäumer, Fabio Scafirimuto, and Robert Davis22 Jan 2025Quantum Research
A year of simplifying quantum software development tools with QiskitTechnical noteBlake Johnson, Ismael Faro, Sanket Panda, Abby Mitchell, and Robert Davis15 Jan 2025QiskitQuantum Software
Meet IBM’s new family of AI models for materials discoveryNewsKim Martineau20 Dec 2024Accelerated DiscoveryAIFoundation ModelsGenerative AIMaterials Discovery
Can a personalized AI be more useful?NewsKim Martineau18 Dec 2024AIGenerative AINatural Language Processing
Copper evolution and beyond: Developments in advanced interconnects for future CMOS nodesTechnical noteDechao Guo and Kisik Choi13 Dec 2024Hardware TechnologySemiconductors
Dynamic circuits enable essential circuit cutting methods for quantum-centric supercomputingResearchDaniel J. Egger, Maika Takita, and Robert Davis11 Dec 2024Quantum Error Correction & MitigationQuantum ResearchQuantum Systems
Rapidus and IBM move closer to scaling out 2 nm chip productionNewsPeter Hess09 Dec 2024Semiconductors
Co-packaged optics deliver high-speed connectivity to supercharge generative AI computingNewsPeter Hess09 Dec 2024AI HardwareSemiconductors