Tracking progress on the path to IBM Quantum Starling
Research
Matthias Steffen and Matthew Marwick
Blog
IBM and Kaggle launch leaderboard for Java framework migration
Technical noteBridget McGinn, Raju Pavuluri, Advait Pavuluri, Rahul Krishna, Srikanth Tamilselvam, Ashita Saxena, George Safta, and Michele MerlerPyTorch opens the AI ecosystem to a new class of accelerators
NewsPeter HessIBM supports award-winning projects in NEDO Quantum Challenge
NewsChris Nay, Toru Imai (今井 亨), and Yuri KobayashiQiskit SDK v2.6 release summary
ReleaseQiskit TeamToward fast AI interpretability and control
NewsKim Martineaullm-d 1.0 hardens open-source AI inference for day 2 production operations
ReleasePeter HessA 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 Janechek
