Modular quantum computing takes shape with l-couplers
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Ryan Mandelbaum and Neereja Sundaresan
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A new IBM Research specialization teaches how AI models run on modern accelerators
Technical noteKaoutar El MaghraouiPreparing chip designers for the nanostack era
ReleasePeter HessMaking AI-driven chip design affordable with open agent factories and distributed inference at scale
NewsPeter HessHow distributed inference keeps large AI models moving
ExplainerPeter HessWhat's new at IBM Quantum Q3 2026
NewsTushar MittalQiskit beyond Python: Fortran, C++, and Julia
ExplainerHaimeng Zhang, Jim Garrison, Matthew Treinish, Henry Zou, Aaryav Mishra, Dhinakaran Vinayagamurthy, Shobhit Pandey, Nate Earnest-Noble, and Robert DavisDirected execution: Scaling a research platform for quantum error correction
Deep DiveJessie Yu, Tushar Mittal, and Robert DavisPonder This Challenge - October 2026 - The Ultimate Ultimate Tic-Tac-Toe Game
PuzzleGadi Aleksandrowicz- Ponder This
Why are silicon wafers round?
ExplainerPeter HessThe continuous path from error mitigation to fault-tolerant quantum computing
Deep DiveAli Javadi-Abhari, Blake Johnson, Alireza Seif, and Jennifer JanechekDemonstrating a theoretical separation between quantum computers and large language models
ResearchSrinivasan Arunachalam, Arkopal Dutt, Hari Krovi, Rik Sengupta, and Ryan MandelbaumA rough guide for going back to the Moon
ReleaseKim Martineau- Accelerated Discovery
- AI
- AI Models
- Algorithms
Switzerland will soon get its first IBM Quantum System Two
NewsIBM QuantumCleveland Clinic, RIKEN, IBM named Gordon Bell finalists
NewsRobert DavisHow llm-d makes the most of the hardware you already have
NewsPeter HessPonder This Challenge - September 2026 - Loeschian Arithmetic Progressions
PuzzleGadi Aleksandrowicz- Ponder This
