NVIDIA has announced significant updates to CUDA-Q™, an open-source platform designed to integrate quantum processing units (QPUs) with traditional CPUs and GPUs. This hybrid approach aims to bridge the gap between classical high-performance computing (HPC) and the emerging field of quantum technology.
The CUDA-Q platform provides a unified programming environment, allowing developers to build applications that leverage both GPU acceleration and quantum algorithms simultaneously. To ensure seamless communication, NVIDIA utilizes high-speed interconnects like NVQLink, which reduce latency between classical and quantum hardware.
The technology is already being targeted for next-generation supercomputers, such as Japan's FugakuNEXT project. By combining the massive parallel processing power of NVIDIA GPUs with the unique capabilities of quantum processors, researchers hope to solve complex problems in error correction, optimization, and artificial intelligence that were previously unreachable.
Conclusion from HYPERPC:
The launch of CUDA-Q marks a pivotal shift toward heterogenous computing. At HYPERPC, we recognize that the high-performance GPUs we integrate into our premium builds are no longer just for rendering or gaming—they are becoming essential controllers for the quantum era. As NVIDIA pushes the boundaries of what's possible, HYPERPC continues to deliver the computational horsepower required to run these advanced hybrid simulations today.
Verified Sources:
Arabic 
English