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At IBM Research, we’re inventing what’s next in AI, quantum computing, and hybrid cloud to shape the world ahead.

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IBM’s new modular architecture for cryogenic systems

Modular approach to housing and cooling quantum processors clears a path for interconnected, fault-tolerant systems.

QOBLIB: tracking progress in quantum optimization

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.

DocLang: a markup language for LLMs

The lead researcher behind IBM’s popular document parser, Docling, explains why generative AI needs its own document standard.

From vision to reality: a unified AI solver for the grid

GENCO is a neural solver that, alongside the GridFM Development Framework, unifies three core electrical grid analysis tasks.

The search for quantum advantage in differential equations

New quantum algorithms could unlock faster ways to model the complex systems behind circuits, fluids, finance, and more.

Ponder This Challenge - August 2026 - The Wheel of Buttons

Quantum advantage through trusted quantum computation

Demonstration shows trusted quantum computation in regimes where classical methods fail.

All of AI benchmarking at your fingertips

IBM is part of a global team trying to make AI benchmarking results easier to compare, replicate, and reuse.

What are spin qubits?

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

IBM to acquire HRL Laboratories

Exploring the storied history of HRL Laboratories, from the invention of the laser to silicon spin qubits.

IBM commits $50M in quantum access for US Genesis Mission

An IBM project was also selected to accelerate AI-driven quantum application discovery.

It’s time for cryptography to get its own abstraction layer

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.

This could be the largest synthetic code dataset yet

Introducing CodeAlchemy, a synthetic data pipeline that has already produced nearly 1 trillion tokens of open-source code

How to measure the performance of a quantum computer

Three key hardware metrics reveal the scale, quality, and speed of any quantum computer—factors that determine computational capability and cost efficiency.

Release News: Qiskit v2.5 is here!

Technical release summary for Qiskit SDK v2.5, including top new features and performance improvements.

CoFrGeNets replace the ‘bones’ of transformer-based models

This new approach, a practical and conceptual shift, points to lighter-weight generative AI models that perform competitively, and in many cases even better.

How training environments can teach AI models to misbehave

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.

What's new at IBM Quantum Q2 2026

Explore the latest updates, releases, and resources from IBM Quantum and the Qiskit community.

Modeling the chemistry of fusion reactor material

Researchers used quantum-centric supercomputing to simulate molten salts, in an early step toward solving a key problem in fusion power.

Ponder This Challenge - July 2026 - Return of the Superheroes

Apply to IBM Quantum Developer Conference 2026

Get an exclusive look at the breakthroughs, tools, and workflows shaping the path to quantum advantage.