The 2024 IBM Research annual letter
Deep Dive
Sriram Raghavan, Mukesh Khare, and Jay Gambetta
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At Think, IBM showed how generative AI is set to take automation to another level
Deep DiveMike MurphyTiny benchmarks for large language models
NewsKim MartineauExplore newly recommended notebook environments for Qiskit
NewsFrancisco Martin, Suhare Nur, and Robert DavisRelease news: Qiskit SDK v1.1.0 is here!
ReleaseQiskit TeamOptimize quantum circuits with AI-powered transpiler passes
ReleaseDavid Kremer, Juan Cruz-Benito, Ismael Faro, and Robert DavisThe future of AI is open
NewsMike Murphy and Peter HessQuantum working groups push for near-term use cases
ExplainerIBM’s Granite model is one of the most transparent LLMs in the world
NewsMike MurphyEnvironmental analysis made easier with IBM’s Geospatial Studio
NewsKim MartineauCan AI help to promote endangered Indigenous languages?
NewsKim MartineauQiskit: The software for quantum performance
NewsRyan Mandelbaum, Blake Johnson, and Jerry ChowResolving the odd-number cyclo[13]carbon
Technical noteLeo Gross and Florian AlbrechtOpen sourcing IBM’s Granite code models
ReleaseMike MurphyHow execution modes enable efficient, utility-scale workloads
ReleaseAndrei Constantinescu, Jessie Yu, Andrew Wack, and Ashley SilvaGet started with Qiskit SDK 1.0 at the 2024 IBM Quantum Challenge
NewsBrian Ingmanson and Vishal Sharathchandra BajpeIBM, Canada, and Quebec are partnering to secure the future of chipmaking in North America
NewsMike Murphy
