The 2024 IBM Research annual letter
Deep Dive
Sriram Raghavan, Mukesh Khare, and Jay Gambetta
Blog
Categories
Popular topics
Charting a path to quantum-safe transformation through industry initiatives
ExplainerLory Thorpe, John Buselli, and Jennifer JanechekMitigating the environmental harm of PFAS ‘forever chemicals’
NewsKim MartineauWhat are ISA circuits?
Technical noteKaelyn Ferris, Abby Mitchell, Blake Johnson, and Jessie YuWhat 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 Martineau
