Nicholas Harrigan

How Quantum Computing’s Biggest Challenges Are Being Solved With Accelerated Computing

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Quantum computing promises to reshape industries — but progress hinges on solving key problems. Error correction. Simulations of qubit designs. Circuit compilation optimization tasks. These are among the bottlenecks that must be overcome to bring quantum hardware into the era of useful applications. Enter accelerated computing. The parallel processing of accelerated computing offers the power
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Go With the Flow: NVIDIA Teams With Ansys and DCAI to Advance Quantum Algorithms for Fluid Dynamics

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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,
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NVIDIA Accelerated Quantum Research Center to Bring Quantum Computing Closer

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As quantum computers continue to develop, they will integrate with AI supercomputers to form accelerated quantum supercomputers capable of solving some of the world’s hardest problems. Integrating quantum processing units (QPUs) into AI supercomputers is key for developing new applications, helping unlock breakthroughs critical to running future quantum hardware and enabling developments in quantum error
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