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This partnership marks a significant milestone in hybrid quantum-classical computing, integrating IonQ's Superion 256 with NVIDIA's GB200 NVL72 infrastructure to accelerate research in finance, materials science, and drug discovery. By leveraging CUDA-Q for workload orchestration, the collaboration aims to prototype large-scale quantum supercomputers that solve complex problems through co-design of quantum processors and AI-driven GPUs.
Sources coveringThe Quantum Insider, LessWrong, Quantum Zeitgeist, InfoQ
What this isA model's reading of the article and related coverage, written for aiqbench. Not the publisher's words.

IonQ Bringing QPU to The NVIDIA Accelerated Quantum Research Center

The Quantum Insider3 min read

Insider Brief PRESS RELEASE — Today, IonQ (NYSE: IONQ) announced that it will be the first on-premise quantum computing deployment at the NVIDIA Accelerated Quantum Research Center (NVAQC). The NVAQC is designed to address the fundamental challenges of scaling quantum processors into a new class of accelerated quantum supercomputers. Connecting IonQ’s full-stack quantum systems directly […]

IonQ plans to install a Superion 256 quantum computer at NVIDIA’s Accelerated Quantum Research Center, making it the center’s first on-premise quantum computing deployment. The system will connect directly to an NVIDIA GB200 NVL72 platform through NVQLink and use CUDA-Q to coordinate hybrid quantum-classical workloads. The partners will research quantum-GPU system…

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