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This deployment marks a pivotal integration of trapped-ion quantum hardware with NVIDIA's accelerated computing stack, establishing a new standard for hybrid quantum-classical architectures in data centers. By leveraging chip-scale Electronic Qubit Control (EQC) and the CUDA-Q platform, this system aims to scale qubit counts while reducing infrastructure complexity for applications in finance and materials science. The move signifies a strategic shift toward practical, rack-mounted quantum solutions that can directly interface with existing GPU ecosystems.
IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center
IonQ's Superion 256 quantum computer will be the first on-premise QPU at NVIDIA's Accelerated Quantum Research Center, integrating with NVIDIA's GB200 NVL72 accelerated computing rack via NVQLink. This collaboration aims to advance quantum-GPU architectures and hybrid software frameworks for applications in finance, materials science, and drug discovery, utilizing IonQ's EQC technology for scalable quantum computing. The post IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center appeared first on Quantum Computing Report.
Trapped-ion quantum hardware developer IonQ (NYSE: IONQ) has announced that its sixth-generation Superion 256 quantum processing unit (QPU) will serve as the first on-premise quantum computer…
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