NVIDIA Teams with Ansys and DCAI to Advance Quantum Algorithms for Fluid Dynamics

NVIDIA has partnered with Ansys and DCAI to advance quantum algorithms for fluid dynamics. The collaboration uses the NVIDIA CUDA-Q platform on the Gefion supercomputer to perform GPU-accelerated simulations. The results could lead to breakthroughs in industries such as aerospace, automotive, and manufacturing. The partnership aims to accelerate the development of new quantum applications and drive the convergence of quantum technologies and AI supercomputing.

NVIDIA has partnered with Ansys and the Danish Centre for AI and Quantum Computing (DCAI) to advance quantum algorithms for fluid dynamics applications. The collaboration leverages the NVIDIA CUDA-Q platform on the Gefion supercomputer to perform GPU-accelerated simulations. This initiative aims to drive breakthroughs in industries such as aerospace, automotive, and manufacturing, accelerating the development of new quantum applications and fostering the convergence of quantum technologies and AI supercomputing.

Gefion, Denmark’s first AI supercomputer, is operated by DCAI and consists of an NVIDIA DGX SuperPOD interconnected with NVIDIA Quantum-2 InfiniBand networking. Using the open-source NVIDIA CUDA-Q software platform, Ansys has drawn on the power of the supercomputer to perform GPU-accelerated simulations of quantum algorithms applicable to fluid dynamics applications [1].

Tim Costa, senior director of quantum and CUDA-X at NVIDIA, emphasizes the importance of this collaboration: "To discover tomorrow’s practical quantum applications, researchers need to be able to run meaningfully large simulations of them today. NVIDIA is enabling collaborators like Ansys and the DCAI by providing the supercomputing platforms researchers need to increase quantum computing’s impact" [1].

Nadia Carlsten, CEO of DCAI, underscores the potential of CUDA-Q to unlock hybrid quantum-classical computing for researchers: "Partnering with NVIDIA and Ansys has allowed us to drive the convergence of quantum technologies and AI supercomputing" [1].

Prith Banerjee, chief technology officer of Ansys, highlights the significance of the GPU-accelerated simulations: "CUDA-Q’s GPU-accelerated simulations have allowed us to study quantum applications in the regimes where we can really begin to see their effects. Working with NVIDIA and DCAI, we’re expanding the role of quantum computing in engineering disciplines like computational fluid dynamics" [1].

This collaboration builds on NVIDIA’s recent advancements in using accelerated computing to propel quantum computing research, including the opening of Japan’s ABCI-Q, the world’s largest quantum research supercomputer, and a new NVIDIA-powered supercomputer at the National Center for High-Performance Computing in Taiwan [1].

References:
[1] https://blogs.nvidia.com/blog/ansys-dcai-quantum-computing/