AI + Simulation

The Philippines maps a quantum strategy to 2035, combining quantum simulation, AI tools, labs like QISLaP and QIL, workforce programs and global partnerships.

Quanscient and Haiqu demonstrated a 15-step quantum fluid benchmark on IBM Heron R3 using OSSLBM, cutting qubit needs and advancing industrial CFD on quantum hardware.

University of Manchester researchers developed an AI model that stabilizes molecular simulations at extreme temperatures, enabling faster, more reliable drug and materials research and paving the way for quantum-enhanced simulation.

A concise look at Google Quantum AI’s dual-path bet on superconducting qubits and neutral atoms, what each offers, and implications for AI and machine learning by 2030.

A concise executive brief on when quantum computing will create commercial value, where to invest now, and how AI and classical computing shape near-term opportunities.

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.