World’s largest quantum research supercomputer runs on powerful NVIDIA chips

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World’s largest quantum research supercomputer runs on powerful NVIDIA chips
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NVIDIA launches the world’s largest quantum research supercomputer, ABCI-Q, in Japan’s new G-QuAT center.

NVIDIA has launched the Global Research and Development Center for Business by Quantum-AI Technology , a major new initiative in the world of supercomputing. Located in Japan, G-QuAT hosts ABCI-Q, now the world’s largest supercomputer dedicated entirely to quantum computing research.

This advanced machine is designed to help tackle some of the world’s toughest challenges — from complex healthcare problems to major tasks in energy and finance. By combining quantum processors with AI-driven supercomputers, ABCI-Q aims to dramatically accelerate progress in fields that need enormous computing power.The ABCI-Q system was delivered by Japan’s National Institute of Advanced Industrial Science and Technology . It runs on 2,020 NVIDIA H100 GPUs, all connected through NVIDIA’s high-speed Quantum-2 InfiniBand networking platform. This gives researchers the ability to handle massive amounts of data quickly and smoothly.At its core is CUDA-Q™, NVIDIA’s open-source hybrid computing platform. CUDA-Q is key to managing the complex mix of hardware and software needed to run large-scale quantum applications effectively.“Seamlessly coupling quantum hardware with AI supercomputing will accelerate realizing the promise of quantum computing for all,” said Tim Costa, senior director of computer-aided engineering, quantum and CUDA-X™ at NVIDIA. “NVIDIA’s collaboration with AIST will catalyze progress in areas like quantum error correction and applications development — crucial for building useful, accelerated quantum supercomputers.”Mix of quantum systems boosts hybrid computingABCI-Q doesn’t rely on just one type of quantum processor. Instead, it integrates several cutting-edge technologies from different companies. These include a superconducting qubit processor by Fujitsu, a neutral atom processor from QuEra, and a photonic quantum processor by OptQC. Together, they support a hybrid quantum-GPU computing system capable of handling many different types of quantum workloads.This multi-modal approach is important because it allows scientists to compare and test various quantum computing methods on one unified platform. It creates a “stepping-stone” system to explore what quantum computing can realistically achieve in the near future.“ABCI-Q will enable researchers in Japan to explore the core challenges quantum computing technologies face and speed the path to practical use cases,” said Masahiro Horibe, deputy director of G-QuAT and AIST. NVIDIA isn’t stopping at Japan. The company is also collaborating with other major research centers around the world. In Taiwan, for example, the National Center for High-Performance Computing has announced a new supercomputer to support quantum research. Built by ASUS, this system will feature NVIDIA HGX H200 systems with over 1,700 GPUs, along with GB200 NVL72 and HGX B300 systems based on NVIDIA’s next-gen Blackwell Ultra platform.Set to go live later this year, the system will be powered by NVIDIA Quantum InfiniBand networking and support more than 20 companies working on quantum projects under Taiwan’s National Quantum Team. They’ll use NVIDIA CUDA-Q for research across many domains, including machine learning and quantum chemistry.“AI has ignited a new industrial revolution — science and industry will be transformed,” said Jensen Huang, founder and CEO of NVIDIA. “We are delighted to partner with Foxconn and Taiwan to help build Taiwan’s AI infrastructure, and to support TSMC and other leading companies to advance innovation in the age of AI and robotics.”Global momentum builds behind quantum-AI fusionQuantum computing could soon help solve some of the world’s most difficult computational problems. These include drug design using simulations, optimizing complex logistics networks, and much more.NVIDIA is working to make this vision real by combining today’s most advanced AI supercomputers with tomorrow’s quantum hardware. At the COMPUTEX tech trade show, NVIDIA showcased how its efforts in Taiwan and elsewhere are helping quantum computing take the next big step. Major tech companies, researchers, and universities are jumping in to support this wave of innovation.For example, Atlantic Quantum, the University of Edinburgh, the University of Oxford, Quantum Circuits Inc., QuEra Computing, and Yale University all plan to use NVIDIA Grace Hopper Superchips from Supermicro. These chips will allow them to explore how AI and quantum computing can work together.Meanwhile, Compal has launched a new platform called CGA-QX, which uses NVIDIA’s CUDA-Q tools to simulate quantum optimization problems. This platform has already been adopted by Taiwan’s National Science and Technology Council and is now available to university researchers across the country.Another company, Quanta, is using CUDA-Q to test and validate real-world quantum hardware. By simulating quantum systems, they can better understand how noisy a quantum processor is and evaluate how well it performs in specific applications.

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