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News from this site on May 13, NVIDIA announced today that it will use the open source CUDA-Q platform to promote quantum computing research at the National Supercomputing Centers in Germany, Japan and Poland, and the close integration of quantum and classical supercomputing. .
Germany’s Jülich Supercomputing Center (JSC) is deploying QPUs from IQM Quantum Computers in its JUPITER supercomputer (this site Note: Quantum Processing Unit (Quantum Processing Unit), this system is accelerated by NVIDIA GH200 Grace Hopper.
The ABCI-Q supercomputer at Japan's Institute of Advanced Industrial Science and Technology (AIST) will install QPU from QuEra, a system powered by Nvidia's Hopper GPU architecture.
The Poznan Supercomputing and Networking Center (PSNC) in Poland also recently installed two ORCA Computing photonic QPUs into a new supercomputing partition accelerated by Hopper.
According to reports, NVIDIA CUDA-Q is an open source, QPU-independent quantum-classical accelerated supercomputing platform , supports the integration of quantum computing and AI artificial intelligence, solves the problem of qubit noise, and develops efficient algorithms.
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