AI + Simulation

Explore how combining quantum computing and AI reduces compute bottlenecks for large models, speeds simulations, and enables edge AI and rapid prototyping.

Telefónica Tech teams with Qilimanjaro, QCentroid and Multiverse to bring quantum computing into practical AI: model compression, faster training, simulations and edge AI.

Researchers report a hybrid AI-optimized quantum simulation method that raises simulation fidelity while cutting resources. What this means for drug discovery, materials, and finance.

New quantum-assisted AI simulation model reduces computation for complex simulations. Overview of methods, applications in drug discovery, materials, and finance.

How Microsoft combines quantum simulation and AI to conquer electron correlation, accelerate materials and drug discovery, and produce hyperaccurate predictive models.

Explore how AI accelerates quantum simulation through logical qubits, hybrid computing, and algorithm discovery to transform drug design and materials science.

Quantum chip market forecast to reach US$4,960.8M by 2031. How these chips will reshape AI simulation, key players, regional trends and challenges.

Luxembourg has opened a joint R&D call for projects combining AI, data science and quantum technologies. Learn who can apply, what areas are prioritized and why this matters for AI simulation and European tech competitiveness.

La Trobe University leads a project applying quantum AI to cut data centre energy use, combining quantum algorithms and AI-driven resource management for greener computing.

Machine-learned force fields promise near-quantum accuracy with GPU-backed speedups up to 10,000x by 2026, reshaping materials, chips, batteries, and drug R&D.