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On September 14, Nvidia announced the expansion of the open source CUDA-Q platform and launched the CUDA-Q Logical orchestration layer to provide programmable and verifiable tools for the development of fault-tolerant quantum computing applications, and support application scenarios such as drug research and development, financial modeling, and material development. According to Nvidia, the Fermi National Accelerator Laboratory used CUDA-Q Logical to shorten the development time of fault-tolerant algorithms from about 5 months to 3 weeks, increasing efficiency by about 7 times. In addition, Quops, a quantum computing benchmark developed by Sandia National Laboratory, has also been added to CUDA-Q to evaluate the progress of quantum computing hardware to practical fault-tolerant quantum computing across platforms. According to reports, CUDA-Q Logical has now been adopted by quantum computing companies and research institutes such as Fermilab, Infleqtion, and IQM Quantum Computers.
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On September 14, Nvidia announced the expansion of the open source CUDA-Q platform and launched the CUDA-Q Logical orchestration layer to provide programmable and verifiable tools for the development of fault-tolerant quantum computing applications, and support application scenarios such as drug research and development, financial modeling, and material development. According to Nvidia, the Fermi National Accelerator Laboratory used CUDA-Q Logical to shorten the development time of fault-tolerant algorithms from about 5 months to 3 weeks, increasing efficiency by about 7 times. In addition, Quops, a quantum computing benchmark developed by Sandia National Laboratory, has also been added to CUDA-Q to evaluate the progress of quantum computing hardware to practical fault-tolerant quantum computing across platforms. According to reports, CUDA-Q Logical has now been adopted by quantum computing companies and research institutes such as Fermilab, Infleqtion, and IQM Quantum Computers.
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