NVIDIA announces hybrid Quantum-Classical Computing Platform

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NVIDIA has unveiled a unified computing platform for speeding up breakthroughs in quantum research and development across AI, HPC, health, finance and other disciplines.

NVIDIA’s Quantum Optimised Device Architecture, or 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 will be able to use it to add quantum computing to existing applications, leveraging both existing 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 centres and public clouds.

“Scientific breakthroughs can occur in the near term with hybrid solutions combining classical computing and quantum computing,” said Tim Costa, director of HPC and Quantum Computing Products at NVIDIA. “QODA will revolutionise quantum computing by giving developers a powerful and productive programming model.”

A number of quantum organisations are already using NVIDIA GPUs and highly specialised NVIDIA software – NVIDIA cuQuantum – to develop quantum circuits. With QODA, developers will be able to build complete quantum applications simulated with NVIDIA cuQuantum on GPU-accelerated supercomputers.

NVIDIA has 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 centres Forschungszentrum Jülich, Lawrence Berkeley National Laboratory and Oak Ridge National Laboratory.

“The hybrid quantum-classical capabilities developed by NVIDIA will enable HPC developers to accelerate their existing applications by providing an efficient way to programme quantum and classical resources in a consolidated environment,” said Yudong Cao, chief technology officer at Zapata. “Near-term applications in chemistry, drug discovery, materials science and more can now be seamlessly integrated with quantum computing, driving new discoveries in these fields as practical quantum advantage emerges.”