The NVIDIA CUDA-Q platform is designed to streamline software and hardware development for hybrid, accelerated quantum supercomputers. Users can write code once, test it on any QPU or simulator, and accelerate all parts of the workflow. This liberates time for achieving scientific breakthroughs rather than waiting for results. CUDA-Q v0.10 has more features and increased performance…
]]>Accelerated quantum supercomputing combines the benefits of AI supercomputing with quantum processing units (QPUs) to develop solutions to some of the world’s hardest problems. Realizing such a device involves the seamless integration of one or more QPUs into a traditional CPU and GPU supercomputing architecture. An essential component of any accelerated quantum supercomputer is a programming…
]]>NVIDIA’s vision of accelerated quantum supercomputers integrates quantum hardware and AI supercomputing to turn today’s quantum processors into tomorrow’s useful quantum computing devices. At Supercomputing 2024 (SC24), NVIDIA announced a wave of projects with partners that are driving the quantum ecosystem through those challenges standing between today’s technologies and this accelerated…
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