NVIDIA has partnered with Japan’s National Institute of Advanced Industrial Science and Technology (AIST) to launch the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), which hosts ABCI-Q, the world’s largest quantum research supercomputer. The system features 2,020 NVIDIA H100 GPUs connected via Quantum-2 InfiniBand networking and integrates with CUDA-Q, an open-source hybrid computing platform. ABCI-Q is equipped with quantum processors from Fujitsu (superconducting qubits), QuEra (neutral atoms), and OptQC (photonic), enabling diverse hybrid quantum-GPU workloads. This collaboration aims to accelerate advancements in quantum error correction and application development across industries such as healthcare, energy, and finance.
NVIDIA Announces Worlds Largest Quantum Research Supercomputer
NVIDIA has unveiled ABCI-Q, the world’s largest quantum research supercomputer, marking a significant advancement in quantum computing technology. This supercomputer is hosted at the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), showcasing NVIDIA’s commitment to pushing the boundaries of computational capabilities.
ABCI-Q is equipped with 2020 NVIDIA H100 GPUs, interconnected via the Quantum-2 InfiniBand networking platform. This setup is complemented by CUDA-Q, an open-source hybrid computing platform designed to manage both quantum and classical hardware seamlessly. The integration of these components allows for efficient execution of large-scale quantum applications.
The supercomputer collaborates with leading companies such as Fujitsu, QuEra, and OptQC, which provide advanced quantum processors. This partnership enables ABCI-Q to handle diverse quantum workloads across different qubit modalities, enhancing its versatility and research potential.
ABCI-Q’s capabilities are poised to address complex challenges in healthcare, energy, and finance. By combining quantum computing with AI technologies, researchers can explore innovative solutions that were previously unattainable.
Tim Costa of NVIDIA highlighted the significance of ABCI-Q as a pivotal step toward practical quantum systems, emphasizing its role in advancing error correction and application development. Masahiro Horibe from AIST underscored how ABCI-Q empowers scientists to experiment with foundational technologies necessary for quantum computing progress.
In summary, ABCI-Q represents a milestone in quantum research, offering researchers a powerful toolset to explore and develop cutting-edge applications across various industries.
ABCI-Q Supercomputer Features Advanced Hardware Components
The ABCI-Q supercomputer is built with 2020 NVIDIA H100 GPUs, connected through the Quantum-2 InfiniBand networking platform. This configuration enables high-speed data transfer and efficient parallel processing, essential for handling complex quantum computing tasks. The system also incorporates CUDA-Q, an open-source hybrid computing platform designed to manage both classical and quantum hardware seamlessly.
ABCI-Q integrates advanced quantum processors from multiple partners, including a superconducting qubit processor by Fujitsu, a neutral atom quantum processor by QuEra, and a photonic processor by OptQC. This diverse setup allows researchers to explore various qubit modalities and develop hybrid quantum-GPU workloads, enhancing the versatility of the system.
The supercomputer’s architecture is designed to support large-scale quantum applications, enabling researchers to address challenges in quantum error correction and application development. By combining quantum computing with AI technologies, ABCI-Q provides a powerful toolset for advancing practical quantum systems across industries such as healthcare, energy, and finance.
ABCI-Q Aims to Accelerate Practical Applications in Quantum Computing
ABCI-Q is designed to accelerate the development of practical quantum computing applications by providing researchers with a powerful hybrid infrastructure. The supercomputer integrates multiple qubit modalities, including superconducting, neutral atom, and photonic processors, enabling comprehensive experimentation across quantum technologies. This diversity allows scientists to explore different approaches to quantum error correction and application development, critical steps toward building functional quantum systems.
The system’s architecture leverages NVIDIA H100 GPUs and the Quantum-2 InfiniBand platform to achieve high-speed data transfer and efficient parallel processing. CUDA-Q further enhances this capability by providing a unified framework for managing both classical and quantum hardware. This integration supports large-scale hybrid workloads, ensuring researchers can tackle complex challenges in fields like healthcare, energy, and finance.
By combining quantum computing with AI technologies, ABCI-Q empowers scientists to explore innovative solutions that were previously unattainable. Tim Costa of NVIDIA highlighted the significance of ABCI-Q as a pivotal step toward practical quantum systems, emphasizing its role in advancing error correction and application development. Masahiro Horibe from AIST underscored how ABCI-Q enables experimentation with foundational technologies necessary for quantum computing progress.
In summary, ABCI-Q represents a milestone in quantum research, offering researchers a powerful toolset to explore and develop cutting-edge applications across various industries.
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