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.

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.