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What is red teaming for generative AI?
ExplainerKim MartineauThe first IBM quantum computer installed on a university campus comes to RPI
NewsMike MurphyIBM and Spain are collaborating to build large language models in Spanish
NewsMike MurphyExploring measurement error mitigation with the Mthree Qiskit extension
Deep DiveHwajung KangLandmark IBM error correction paper published on the cover of Nature
ResearchRafi LetzterBest practices for transitioning to Qiskit SDK v1.0
ExplainerLuciano Bello, Kaelyn Ferris, and Abby MitchellSimulating a bosonic error correcting code using Bosonic Qiskit
Deep DiveZixiong Liu and Kevin C. SmithIBM and VU Amsterdam researchers reveal a new vulnerability in all major CPU architectures
Technical noteAnil Kurmus and Andrea MambrettiGenerative AI could offer a faster way to test theories of how the universe works
NewsKim MartineauWigner’s friend with Qiskit: How observing an observer causes the quantum measurement problem
ExplainerMaria ViolarisMaximizing training throughput using PyTorch FSDP
Technical noteIBM and NASA build language models to make scientific knowledge more accessible
Technical noteBishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Bharath Dandala, Rong Zhang, and Yousef El-KurdiA faster, systematic way to train large language models for enterprise
ResearchKim MartineauQiskit 1.0 release summary
ReleaseQiskit TeamQiskit tools help researchers probe the noisy dynamics of graph-state stabilizers
ResearchHaggai Landa, Liran Shirizly, and Robert DavisInventing the devices that underpin how the world communicates
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