Where the frontiers of high-speed racing and computing meet
Research
Kim Martineau and Dave Mosher
Science
Our focus extends beyond just increasing the rate of scientific discovery; it's about laying new technological foundations that can be applied across multiple fields, driving significant advancements in climate science, materials discovery, healthcare, and more.
Our work
Next-generation algorithms could move fusion from the lab to the grid
ReleaseKim MartineauQuantum computers take a step into real materials science
NewsPeter HessLike the information in a dream: IBM’s Charles H. Bennett receives ACM Turing award
NewsRobert DavisUnveiling the first reference architecture for quantum-centric supercomputing
Technical noteSeetharami Seelam, Antonio Córcoles, Tushar Mittal, and Jerry ChowQuantum simulates properties of the first-ever half-Möbius molecule, designed by IBM and researchers
NewsPeter Hess, Leo Gross, and Alessandro Curioni- See more of our work on Science
Topics
Accelerated Discovery
The world is changing rapidly every day, and the way we used to solve problems won’t cut it anymore. At IBM Research, we’re combining our expertise in quantum computing, AI, and hybrid cloud to drastically increase how quickly we can discover solutions to tackle today’s most urgent problems.Materials Discovery
It can take over 10 years to come up with new materials. At IBM Research, we’re looking to accelerate the discovery process using new AI methods, robotics, the hybrid cloud, and quantum computers. Our goal is to unlock new properties and materials to address global challenges in years not decades.
Publications
Combining Oblivious Pseudorandom Functions
- Sebastian Faller
- Marc Fischlin
- et al.
- 2026
- Eurocrypt 2026
Conference paperUnsupervised Cycle Detection in Agentic Applications
- Felix George
- Divya Pathak
- et al.
- 2026
- ICPE 2026
Short paperSatWellMCQ: A Vision–Language Satellite Dataset for MCQ-Based Image Grounding of Oil Well
- Ahmed Emam
- Sultan Alrowili
- et al.
- 2026
- EGU 2026
TalkAdaptive Decoding via Test-Time Policy Learning for Self-Improving Generation
- Asmita Bhardwaj
- Yuya Ong
- et al.
- 2026
- ICLR 2026
Workshop paperEvaluating Ill-Defined Tasks in Large Language Models
- 2026
- ICLR 2026
Workshop paperMomentum-Accelerated Structured Preconditioning for Physics-Informed Neural Networks
- Indra Priyadarsini S
- Onur Boyar
- et al.
- 2026
- ICLR 2026
Workshop paper
The fastest path to progress
Watch a new short film on the computing revolutions that are accelerating the rate of scientific discovery like nothing before.
Watch the film
Projects
We're developing technological solutions to assist subject matter experts with their scientific workflows by enabling the Human-AI co-creation process.
Creating the AI-enabled lab for a new era of reproducible and collaborative experimentation
