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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.
IonQ Bringing QPU to The NVIDIA Accelerated Quantum Research Center
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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