Nvidia Fuels World’s Largest Quantum Supercomputer
▼ Summary
– Nvidia launched G-QuAT, a global R&D center featuring ABCI-Q, the world’s largest quantum computing research supercomputer.
– ABCI-Q combines quantum processors with AI supercomputers to tackle complex challenges in healthcare, energy, and finance.
– The supercomputer uses 2,020 Nvidia H100 GPUs and Nvidia Quantum-2 InfiniBand, integrated with the CUDA-Q hybrid computing platform.
– ABCI-Q collaborates with Fujitsu, QuEra, and OptQC to support hybrid quantum-GPU workloads across multiple qubit technologies.
– The system aims to advance quantum error correction and practical applications, accelerating progress in quantum computing.
Nvidia has unveiled a groundbreaking quantum supercomputer that combines cutting-edge GPU technology with quantum processors, marking a significant milestone in computational research. The newly launched ABCI-Q system, housed at Japan’s Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), represents the world’s largest research supercomputer dedicated to quantum computing advancements.
This hybrid system leverages 2,020 Nvidia H100 GPUs interconnected via the Nvidia Quantum-2 InfiniBand networking platform, delivering unprecedented processing power. By integrating Nvidia CUDA-Q, an open-source hybrid computing platform, researchers can efficiently orchestrate quantum and classical computing resources to tackle complex problems in healthcare, energy, and finance.
Tim Costa, Nvidia’s senior director of quantum and CUDA-X, emphasized that merging quantum hardware with AI supercomputing accelerates the development of practical quantum applications. The collaboration with Japan’s National Institute of Advanced Industrial Science and Technology (AIST) aims to drive breakthroughs in quantum error correction and real-world implementations.
ABCI-Q doesn’t rely on a single quantum architecture—it incorporates multiple qubit technologies, including Fujitsu’s superconducting processor, QuEra’s neutral atom system, and OptQC’s photonic processor. This diversity allows scientists to explore different quantum approaches while leveraging GPU acceleration for hybrid workloads.
Masahiro Horibe, deputy director of G-QuAT and AIST, highlighted that ABCI-Q provides Japanese researchers with the tools to overcome key quantum computing challenges. The system’s Nvidia-powered infrastructure enables experimentation with transitional technologies essential for scaling quantum computing into practical applications.
By bridging the gap between quantum research and real-world deployment, Nvidia’s latest innovation sets the stage for transformative advancements in computational science. The integration of GPU acceleration with quantum processing could unlock solutions to problems previously deemed unsolvable, reshaping industries worldwide.
(Source: VentureBeat)
