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NVIDIA is significantly advancing quantum and AI research through strategic collaborations and cutting-edge technology. The company is partnering with Japan’s National Institute of Advanced Industrial Science and Technology (AIST) to launch ABCI-Q, a new supercomputing system focused on hybrid quantum-classical computing. This research-focused system is designed to support large-scale operations, utilizing the power of 2,020 NVIDIA H100 GPUs interconnected with NVIDIA’s Quantum-2 InfiniBand platform. The ABCI-Q system will be hosted at the newly established Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT).
The ABCI-Q infrastructure integrates CUDA-Q, an open-source platform that orchestrates large-scale quantum-classical computing, enabling researchers to simulate and accelerate quantum applications. This hybrid setup combines GPU-based simulation with physical quantum processors from vendors such as Fujitsu (superconducting qubits), QuEra (neutral atom qubits), and OptQC (photonic qubits). This modular architecture will allow for testing quantum error correction, developing algorithms, and refining co-design strategies, which are all critical for future quantum systems. The system serves as a testbed for evaluating quantum-GPU workflows and advancing practical use cases across multiple hardware modalities.
NVIDIA is also expanding its presence in Taiwan, powering a new supercomputer at the National Center for High-Performance Computing (NCHC). This supercomputer is projected to deliver eight times the AI performance compared to the center's previous Taiwania 2 system. The new supercomputer will feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems, and an NVIDIA HGX B300 system built on the NVIDIA Blackwell Ultra platform, all interconnected by NVIDIA Quantum InfiniBand networking. This enhanced infrastructure is expected to significantly boost research in AI development, climate science, and quantum computing, fostering technological autonomy and global AI leadership for Taiwan.
References :
The ABCI-Q infrastructure integrates CUDA-Q, an open-source platform that orchestrates large-scale quantum-classical computing, enabling researchers to simulate and accelerate quantum applications. This hybrid setup combines GPU-based simulation with physical quantum processors from vendors such as Fujitsu (superconducting qubits), QuEra (neutral atom qubits), and OptQC (photonic qubits). This modular architecture will allow for testing quantum error correction, developing algorithms, and refining co-design strategies, which are all critical for future quantum systems. The system serves as a testbed for evaluating quantum-GPU workflows and advancing practical use cases across multiple hardware modalities.
NVIDIA is also expanding its presence in Taiwan, powering a new supercomputer at the National Center for High-Performance Computing (NCHC). This supercomputer is projected to deliver eight times the AI performance compared to the center's previous Taiwania 2 system. The new supercomputer will feature NVIDIA HGX H200 systems with over 1,700 GPUs, two NVIDIA GB200 NVL72 rack-scale systems, and an NVIDIA HGX B300 system built on the NVIDIA Blackwell Ultra platform, all interconnected by NVIDIA Quantum InfiniBand networking. This enhanced infrastructure is expected to significantly boost research in AI development, climate science, and quantum computing, fostering technological autonomy and global AI leadership for Taiwan.
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References :
- : Japan’s National Institute of Advanced Industrial Science and Technology (AIST), in collaboration with NVIDIA, has launched ABCI-Q, a new research-focused supercomputing system designed to support large-scale hybrid quantum-classical computing.
- AI News | VentureBeat: Nvidia is powering a supercomputer at Taiwan’s National Center for High-Performance Computing that’s set to deliver over eight times more AI performance than before.
Classification:
- HashTags: #ABCIQ #Supercomputer #NVIDIA
- Company: Nvidia
- Target: Research
- Product: Hardware
- Feature: Supercomputing
- Type: Tech
- Severity: Medium