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    Home » NVIDIA Advances Quantum Algorithms for Fluid Dynamics
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    NVIDIA Advances Quantum Algorithms for Fluid Dynamics

    adminBy adminJune 12, 2025No Comments2 Mins Read0 Views
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    AI supercomputing is accelerating the development of new quantum applications, driving breakthroughs in critical industries such as aerospace, automotive and manufacturing.

    Underscoring that opportunity, Ansys announced today it is using the NVIDIA CUDA-Q quantum computing platform running on the Gefion supercomputer to advance quantum algorithms for fluid dynamics applications.

    Gefion is Denmark’s first AI supercomputer, consisting of an NVIDIA DGX SuperPOD interconnected with NVIDIA Quantum-2 InfiniBand networking. Using the open-source NVIDIA CUDA-Q software platform, Ansys drew on the power of the supercomputer to perform GPU-accelerated simulations of quantum algorithms applicable to fluid dynamics applications.

    “To discover tomorrow’s practical quantum applications, researchers need to be able to run meaningfully large simulations of them today,” said Tim Costa, senior director of quantum and CUDA-X at NVIDIA. “NVIDIA is enabling collaborators like Ansys and the DCAI by providing the supercomputing platforms researchers need to increase quantum computing’s impact.”

    Gefion is based in Copenhagen and operated by DCAI. It was established by the Novo Nordisk Foundation and the Export and Investment Fund of Denmark.

    CUDA-Q taps into GPU-accelerated libraries, enabling Gefion to run complex simulations of a class of algorithms known as Quantum Lattice Boltzmann Methods. By simulating how these algorithms would perform on a 39-qubit quantum computer, Ansys could rapidly and cost-effectively investigate how they impact fluid dynamics applications.

    “We’re seeing how CUDA-Q can unlock hybrid quantum-classical computing for researchers using Gefion,” said Nadia Carlsten, CEO of DCAI. “Partnering with NVIDIA and Ansys has allowed us to drive the convergence of quantum technologies and AI supercomputing.”

    “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,” said Prith Banerjee, chief technology officer of Ansys. “Working with NVIDIA and DCAI, we’re expanding the role of quantum computing in engineering disciplines like computational fluid dynamics.”

    This latest work builds on NVIDIA’s recent announcements on 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.

    Watch the NVIDIA GTC Paris keynote from NVIDIA founder and CEO Jensen Huang at VivaTech, and explore GTC Paris sessions.



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