Qiskit SDK v2.6 release summary
Technical release summary for Qiskit SDK v2.6, including updates on top new features.
Sources / IBM Research
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A new plugin can enable fast runtime monitoring and control
IBM's vLLM-Hook MIA lets developers inspect and edit the AI generation process with hardly any delay.
llm-d 1.0 hardens open-source AI inference for production
The distributed inference framework makes serving large models on your own infrastructure reliable and affordable for the agentic era.
New course teaches how AI models run on modern accelerators
'Dataflow Architectures for AI' is a 6-course specialization from IBM Research that compares leading accelerator architectures through hands-on labs.
Preparing chip designers for the nanostack era
IBM is releasing a process design kit for our groundbreaking 0.7-nanometer transistor architecture.
Scaling AI-driven chip design with open agent factories
Open models and llm-d enabled IBM Research to explore quantum error correction hardware at 11.5× lower inference cost than an all-proprietary configuration.
How distributed inference keeps large AI models moving
Distributed inference serving is an air traffic control tower for AI traffic, and agentic workflows make it more necessary than ever.
What's new at IBM Quantum Q3 2026
Explore the latest updates, releases, and resources from IBM Quantum and the Qiskit community.
Qiskit beyond Python: Fortran, C++, and Julia
Qiskit’s C API connects the SDK’s Rust core to the languages of HPC and scientific computing, so you can build and run circuits natively—no Python required.
Directed execution: same performance, more control
See, customize, and extend how your circuits use the error mitigation and correction methods researchers are exploring today on IBM quantum hardware
Ponder This Challenge - October 2026 - The Ultimate Ultimate Tic-Tac-Toe Game
Why are silicon wafers round?
It’s a result of metallurgy, but circular silicon wafers are also the best shape to ensure uniformity in the chip production process.
From error mitigation to fault-tolerant quantum computing
A spectrum of error-correcting techniques is enabling useful quantum computation, measured not by logical qubits but by the circuits you can run with them.
A theoretical separation between quantum computers & LLMs
Recent research further demonstrates the theoretical abilities of quantum computing
Introducing IBM and NASA's new foundation model for the Moon
The multi-modal model could help astronauts navigate craters, investigate ancient lava, and search for ice, as the US plans for a long-term lunar presence.
Switzerland's first IBM Quantum System Two
Lockheed Martin and IBM are launching a Swiss quantum innovation hub at ETH Zurich to advance research, industry collaboration, and workforce development.
Cleveland Clinic, RIKEN, IBM named Gordon Bell finalists
Finalist recognition for one of supercomputing’s top prizes arrives as researchers report new progress in automated quantum-HPC chemistry workflows.
How llm-d makes the most of the hardware you already have
IBM Research and Red Hat deployed a 753B open model on H100 GPUs, serving thousands of concurrent coding agents at 5-10x lower cost than commercial APIs.
Ponder This Challenge - September 2026 - Loeschian Arithmetic Progressions
IBM Quantum Nighthawk r2—more circuits, faster
High-speed, independent qubit reset boosts circuit throughput 25x over Heron while enabling accurate observable estimation on circuits with 7,500+ gates.
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