Using dynamic circuits to efficiently implement quantum states with long-range entanglement
Research
Simone Cantori, Marcel Pfaffhauser, Elisa Bäumer, Fabio Scafirimuto, and Robert Davis
Inventing What’s Next
Granite
IBM Granite AI models are open sourced for innovation, tailored for business, and optimized for scale.
Recent news
How low-precision computing boosts efficiency — without hurting accuracy
ExplainerPeter HessA year of simplifying quantum software development tools with Qiskit
Technical noteBlake Johnson, Ismael Faro, Sanket Panda, Abby Mitchell, and Robert DavisPonder This:
January ChallengePuzzleInside the lab testing some of the world’s most capable AI chips
Deep DiveMike MurphyMeet IBM’s new family of AI models for materials discovery
NewsKim Martineau- Read more news on our blog
Tools + Code
Bee Agent Framework
Open-source framework for building, deploying, and serving powerful agentic workflows at scale.
View project →Granite Open-source Models
A series of enterprise-focused, open-source models for language, code, time series and geospatial.
View project →InstructLab
A community-based approach to building open-source LLMs, created by engineers from Red Hat and IBM Research.
View project →Qiskit SDK
Easily build and transpile circuits with 100+ qubits with the stable, high-performance Qiskit SDK.
View project →
