IBM Research
Quantum advantage is here. The next question is where to apply it. New updates from the Quantum Optimization Working Group offer a glimpse at the path ahead.
The lead researcher behind IBM’s popular document parser, Docling, explains why generative AI needs its own document standard.
GENCO is a neural solver that, alongside the GridFM Development Framework, unifies three core electrical grid analysis tasks.
New quantum algorithms could unlock faster ways to model the complex systems behind circuits, fluids, finance, and more.

- Ponder This The Wheel of Buttons This puzzle was suggested by Sanandan Swaminathan - thanks! A game show is arranged as follows: The main attraction is a wheel that has buttons equidistant from one another, such that the wheel looks perfectly symmetric. Each button has two possible states: "on" and "off". There's no indicator to the status of a button, and each press toggles between those two s…
Demonstration shows trusted quantum computation in regimes where classical methods fail.
IBM is part of a global team trying to make AI benchmarking results easier to compare, replicate, and reuse.

Spin qubits are an important element of IBM’s recent HRL Laboratories acquisition.

Exploring the storied history of HRL Laboratories, from the invention of the laser to silicon spin qubits.
An IBM project was also selected to accelerate AI-driven quantum application discovery.
Filesystems and sockets once looked like unnecessary layers of indirection; now they’re the foundation of modern systems. Cryptography is ready for the same shift — and with PQC on the horizon, the timing is right.
Filesystems and sockets once looked like unnecessary layers of indirection; now they’re the foundation of modern systems. Cryptography is ready for the same shift — and with PQC on the horizon, the timing is right.
Introducing CodeAlchemy, a synthetic data pipeline that has already produced nearly 1 trillion tokens of open-source code
Three key hardware metrics reveal the scale, quality, and speed of any quantum computer—factors that determine computational capability and cost efficiency.

Technical release summary for Qiskit SDK v2.5, including top new features and performance improvements.
This new approach, a practical and conceptual shift, points to lighter-weight generative AI models that perform competitively, and in many cases even better.
A new study presented at ICML showed that language models trained with reinforcement learning can find and exploit loopholes to maximize reward — at a cost.
Explore the latest updates, releases, and resources from IBM Quantum and the Qiskit community.
Researchers used quantum-centric supercomputing to simulate molten salts, in an early step toward solving a key problem in fusion power.

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