Quantinuum, NVIDIA, Pfizer unveil ADAPT-GQE quantum AI framework

ADAPT-GQE uses quantum data to train transformer models that generate quantum chemistry circuits more efficiently than traditional optimization, validated on Quantinuum's Helios hardware. The team aims to build quantum foundation models for molecules too large for classical simulation.
1 source
Daily brief
Get tomorrow's AI brief in your inbox
More stories today
- LangSmith adds Preview Builds to test agent changes before production
- Exa plugin gives ChatGPT Work and Codex access to 100B+ websites
- Ramp launches its own AI model router, called Router
- Apple’s AirPods Should Avoid Meta’s Mistakes
- Docker's Tushar Jain on AI-native runtime for agent autonomy