Nvidia has announced a unified computing platform called Nvidia Quantum Optimized Device Architecture, or QODA, for speeding breakthroughs in quantum research and development across AI, HPC, health, finance and other disciplines. QODA aims to make quantum computing more accessible by creating a coherent hybrid quantum-classical programming model.
QODA is an open, unified environment for some of today’s most powerful computers and quantum processors, improving scientific productivity and enabling greater scale in quantum research.
HPC and AI domain experts can use it to easily add quantum computing to existing applications, leveraging both today’s quantum processors, as well as simulated future quantum machines using Nvidia DGX systems and a large installed base of Nvidia GPUs available in scientific supercomputing centers and public clouds.
Leading quantum organizations are already using Nvidia GPUs and highly specialized Nvidia software – Nvidia cuQuantum – to develop individual quantum circuits. With QODA, developers can build complete quantum applications simulated with Nvidia cuQuantum on GPU-accelerated supercomputers.
At the Q2B conference in Tokyo, Nvidia also announced QODA collaborations with quantum hardware providers IQM Quantum Computers, Pasqal, Quantinuum, Quantum Brilliance and Xanadu; software providers QC Ware and Zapata Computing; and supercomputing centers Forschungszentrum Jülich, Lawrence Berkeley National Laboratory and Oak Ridge National Laboratory.