Advancements in Quantum Computing and AI Infrastructure at SC25

At the Supercomputing Conference 2025 (SC25) in St. Louis, Missouri, Nvidia showcased its ambitious plans to integrate quantum computing with traditional supercomputing. The company introduced NVQLink, a new interconnect designed to facilitate communication between GPUs and quantum processors. Dion Harris, Nvidia's senior director of HPC and AI infrastructure solutions, emphasized that future supercomputers will leverage quantum processors to enhance computational capabilities, stating, “GPUs act as the brain that orchestrates the quantum hardware and perform the heavy computations that quantum processors cannot.”

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The University of Texas at Austin (UT) has significantly bolstered its position in academic computing by acquiring over 5,000 advanced NVIDIA GPUs, including the powerful Blackwell architecture. This infrastructure will support Horizon, the largest academic supercomputer in the nation, set to launch next year. Funded by the National Science Foundation (NSF), Horizon aims to enhance research in artificial intelligence, quantum information science, and other emerging technologies. UT President Jim Davis noted the university's commitment to societal benefit through research, highlighting the importance of open-source computing for public interest.

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In Japan, RIKEN, the nation's leading research institute, announced the integration of two new supercomputers powered by NVIDIA GB200 systems. One system will focus on AI for scientific research, utilizing 1,600 NVIDIA Blackwell GPUs, while the other will be dedicated to quantum computing, featuring 540 Blackwell GPUs. Satoshi Matsuoka, director of the RIKEN Center for Computational Science, stated that these systems represent a pivotal advancement for Japan’s scientific infrastructure, enabling breakthroughs across various fields.

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Nvidia's NVQLink is set to be adopted by numerous supercomputing centers worldwide, including institutions in Japan, South Korea, and Europe. This interconnect allows for microsecond-level latency and high-throughput links, facilitating hybrid quantum-classical workflows. Jensen Huang, Nvidia's CEO, remarked that NVQLink will unite quantum and GPU computing, unlocking new scientific discoveries.

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Despite the advancements, some experts caution that the timeline for practical quantum processors remains uncertain. Nvidia's optimistic projections may be premature, as no quantum processors are currently available on the market. Critics argue that while the integration of quantum computing with supercomputing is promising, significant technical challenges remain before these systems can be fully realized.

Nvidia touts next-gen quantum computing interconnectsSupercomputing Centers to Integrate Quantum Processors Using NVIDIA’s NVQLinkNvidia just announced new supercomputers and an open AI model family for science at SC 2025NVIDIA and RIKEN Advance Japan’s Scientific Frontiers With New Supercomputers for AI and Quantum ComputingNvidia highlights considerable science-based supercomputing efforts

As these initiatives progress, the integration of quantum processors with supercomputing capabilities is expected to reshape research landscapes. The upcoming launch of Horizon at UT and the operationalization of RIKEN's new supercomputers in 2026 will be pivotal moments in the evolution of AI and quantum computing. The collaboration between Nvidia and various global research institutions will likely drive further innovations in computational science.

NVIDIA and RIKEN Advance Japan’s Scientific Frontiers With New Supercomputers for AI and Quantum ComputingNvidia just announced new supercomputers and an open AI model family for science at SC 2025UT Eclipses 5,000 GPUs To Increase Dominance in Open-Source AI, Strengthen Nation’s Computing PowerNvidia highlights considerable science-based supercomputing effortsNvidia touts next-gen quantum computing interconnectsSupercomputing Centers to Integrate Quantum Processors Using NVIDIA’s NVQLink

• “In the future, every supercomputer will draw on quantum process to expand the problems it can compute, and every quantum processor will rely on a supercomputer to run correctly,” — Dion Harris, Senior Director of HPC and AI Infrastructure Solutions, Nvidia

Nvidia touts next-gen quantum computing interconnects

• “As a leading public flagship university, our greatest responsibility is to benefit society and support our state and nation through our teaching and research activities,” — Jim Davis, President, University of Texas at Austin

UT Eclipses 5,000 GPUs To Increase Dominance in Open-Source AI, Strengthen Nation’s Computing Power

• “Integrating the NVIDIA GB200 NVL4 accelerated computing platform with our next-generation supercomputers represents a pivotal advancement for Japan’s science infrastructure,” — Satoshi Matsuoka, Director, RIKEN Center for Computational Science

NVIDIA and RIKEN Advance Japan’s Scientific Frontiers With New Supercomputers for AI and Quantum Computing

• “NVQLink with CUDA-Q is the gateway to that future — uniting quantum and GPU computing into a single, coherent system to push the frontier of what’s computable and unlocking new scientific discoveries.” — Jensen Huang, CEO, Nvidia

Supercomputing Centers to Integrate Quantum Processors Using NVIDIA’s NVQLink