Artificial intelligence supercomputing is playing a pivotal role in propelling quantum technologies into practical realms, with significant impact across sectors like aerospace, automotive, and manufacturing. Ansys, a leader in simulation software, has announced its use of the Nvidia CUDA-Q quantum computing platform, running on Denmark’s first artificial intelligence supercomputer, Gefion, to accelerate the development of quantum algorithms tailored for fluid dynamics applications.
The Gefion supercomputer, based in Copenhagen and managed by DCAI, represents a cutting-edge blend of an Nvidia DGX SuperPOD architecture and Nvidia Quantum-2 InfiniBand networking. Leveraging the open-source CUDA-Q platform, Ansys performed GPU-accelerated simulations to study the behavior of quantum algorithms—specifically, Quantum Lattice Boltzmann Methods—within computational fluid dynamics. By simulating performance on a hypothetical 39-qubit quantum computer, researchers could efficiently and economically evaluate the potential and challenges of quantum-enhanced fluid dynamics.
Nvidia, Ansys, and DCAI emphasized that running large-scale simulations today is essential to crafting practical quantum applications for the future. CUDA-Q´s integration of GPU-accelerated libraries enabled new research possibilities, unlocking hybrid quantum-classical computing and advancing the role of quantum technologies in engineering simulations. This collaboration builds on Nvidia’s broader commitment to quantum computing, such as powering Japan´s ABCI-Q—the largest quantum research supercomputer—and supporting new initiatives at the National Center for High-Performance Computing in Taiwan. The project underscores the synergies between quantum technologies and artificial intelligence-powered supercomputing on the global stage.
