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NVIDIA Powers World's Largest Quantum Research Supercomputer with ABCI-Q

Date: 19-may-2025 | By: Nuztrend Team

NVIDIA Powers World's Largest Quantum Research Supercomputer with ABCI-Q

NVIDIA has announced a groundbreaking partnership with Japan’s National Institute of Advanced Industrial Science and Technology (AIST) to launch ABCI-Q—the world’s largest quantum research supercomputer. This state-of-the-art system marks a transformative step in quantum computing, blending NVIDIA’s cutting-edge AI technologies with Japan’s advanced quantum research capabilities.

ABCI-Q: World’s Most Powerful Quantum Research Platform

ABCI-Q (AI Bridging Cloud Infrastructure for Quantum) is designed to support hybrid quantum-classical computing on a massive scale. Powered by more than 2,000 NVIDIA H100 Tensor Core GPUs across 500+ nodes, the system uses the NVIDIA Quantum-2 InfiniBand networking platform to deliver unmatched performance for complex quantum workloads.

Central to this infrastructure is NVIDIA CUDA-Q, a unified open-source hybrid quantum computing platform. CUDA-Q allows seamless programming and simulation of quantum algorithms using classical resources, providing developers with the tools needed to build and test hybrid algorithms before deploying on actual quantum hardware.

Driving Innovation in Quantum Applications

ABCI-Q is expected to accelerate breakthroughs in materials science, quantum chemistry, cryptography, and optimization problems. Researchers across Japan and beyond will gain access to the platform to run large-scale quantum simulations and develop next-generation algorithms.

Masahiro Horibe, Deputy Director of G-QuAT at AIST, emphasized its importance:

“ABCI-Q will enable Japanese researchers to explore quantum computing technology to test and accelerate the development of its practical applications.”

NVIDIA's Quantum Commitment Through CUDA-Q

As part of its broader quantum strategy, NVIDIA’s CUDA-Q platform plays a key role in making quantum computing accessible and efficient. CUDA-Q supports quantum processing units (QPUs) and GPUs within a single programming environment, significantly lowering the barrier for hybrid development.

“Researchers need high-performance simulation to tackle the most difficult problems in quantum computing,” said Tim Costa, Director of HPC and Quantum Computing at NVIDIA. “CUDA-Q and the NVIDIA H100 equip pioneers such as those at ABCI to make critical advances and speed the development of quantum-integrated supercomputing.”

Implications for Science and Industry

The creation of ABCI-Q opens up a wealth of opportunities for industries such as pharmaceuticals, aerospace, and finance. Quantum computing is projected to transform these sectors by solving problems that are intractable for today’s supercomputers.

  • Drug discovery processes can be significantly accelerated by simulating molecular interactions at a quantum level.
  • Secure communication protocols using quantum encryption can be tested and refined.
  • Optimizing logistics, resource allocation, and complex systems becomes more efficient through quantum algorithms.

The system is also a critical step toward developing the next generation of error-corrected quantum computers. Researchers will use ABCI-Q to explore new hardware designs, quantum error correction techniques, and robust hybrid models that can bridge current classical systems with emerging quantum devices.

Global Impact and Future Outlook

NVIDIA and AIST's collaboration signals a growing international effort to advance quantum computing at scale. By launching ABCI-Q, Japan positions itself as a global leader in hybrid AI-quantum development, while NVIDIA strengthens its role at the forefront of high-performance and quantum computing innovation.

With nations and enterprises racing toward quantum supremacy, such investments are not only timely but crucial. The success of ABCI-Q could inspire similar deployments in Europe, North America, and other tech-forward regions as quantum computing transitions from experimental labs into real-world applications.

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Disclaimer: This article is based on publicly available information from various online sources. We do not claim absolute accuracy or completeness. Readers are advised to cross-check facts independently before forming conclusions.

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