NVIDIA Expands Quantum Computing Partnerships with Taiwan Manufacturers and Supercomputing Centers

NVIDIA deepens quantum computing collaborations in Taiwan, merging advanced hardware with Artificial Intelligence supercomputers to accelerate scientific discovery.

NVIDIA is driving the convergence of quantum computing and Artificial Intelligence supercomputing by extending key partnerships across Taiwan’s manufacturing sector and research ecosystem. At the COMPUTEX trade show, the company showcased its efforts to equip quantum researchers and institutions with the hardware and software needed to develop solutions to complex global challenges such as drug design and logistics optimization.

Collaborating with notable manufacturers, NVIDIA is enabling the integration of quantum processing into high-performance supercomputers. Companies like Compal have launched solutions — most notably the CGA-QX platform powered by NVIDIA’s CUDA-Q — to accelerate quantum optimization simulations. This platform has been adopted by Taiwan’s National Science and Technology Council and is now accessible to university researchers nationwide. Similarly, Quanta is leveraging CUDA-Q for simulating and validating physical quantum hardware in order to refine their quantum processors and gain deeper insights into system noise and potential applications. Academia and industry partners, including the University of Edinburgh, University of Oxford, Quantum Circuits Inc., QuEra Computing, Yale University, and hardware provider Supermicro, are obtaining NVIDIA Grace Hopper Superchips to further explore quantum-Artificial Intelligence intersections.

NVIDIA’s collaborations extend to supercomputing centers focused on quantum research. Taiwan’s National Center for High-Performance Computing (NCHC) announced a new quantum research supercomputer built by ASUS, featuring NVIDIA’s HGX H200 systems, two NVIDIA GB200 NVL72 rack-scale systems, and a HGX B300 system that utilizes the next-generation Blackwell Ultra platform. This infrastructure is interconnected by NVIDIA Quantum InfiniBand networking and is due to be operational this year. The NCHC’s platform supports over 20 quantum-focused companies, operating jointly as the National Quantum Team and using CUDA-Q to research applications like machine learning and chemistry. Internationally, Japan’s AIST’s ABCI-Q, the world’s most powerful supercomputer dedicated to quantum workloads, integrates NVIDIA’s hardware with quantum processors from Fujitsu, QuEra Computing, and OptQC. The increasing availability and integration of quantum-Artificial Intelligence platforms promise to push forward advances in quantum error correction, hybrid quantum-Artificial Intelligence computing, and the simulation of new hardware designs.

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