To support the future development of quantum computing applications, NVIDIA announced the launch of QODA (Quantum Optimized Device Architecture), a unified programming platform that can create streamlined quantum and classical programming models, making quantum computing easier to use.
QODA is powered by the NVIDIA DGX computing system, combined with scientific supercomputing centers and a large number of NVIDIA GPU computing resources deployed in the public cloud. This allows it to simulate the execution modes of future quantum computing devices, making it easy to apply quantum computing to a variety of application needs.
At its Q2B conference in Tokyo, NVIDIA announced collaborations with multiple suppliers and supercomputing centers. These include quantum hardware vendors IQM Quantum Computers, Pasqal, Quantinuum, Quantum Brilliance, and Xanadu, as well as software vendors QC Ware and Zapata Computing. The collaborations also include Forschungszentrum Jülich, Lawrence Berkeley National Laboratory, and Oak Ridge National Laboratory.
Many quantum research organizations are already using NVIDIA GPUs and cuQuantum software to develop independent quantum circuits. By using QODA for simulations, they can easily create complete quantum sub-applications, significantly advancing quantum research and development in artificial intelligence, high-performance computing, health, finance, and other fields.
In addition to NVIDIA, public clouds including AWS, Google Cloud, and Microsoft have also begun deploying quantum computing development. They are also constructing quantum computing models through cloud computing and software simulation, thereby promoting the development of more technology fields that require quantum computing-scale computing power.
