IonQ will deploy its 256-qubit Superion 256 quantum processor at Nvidia's research center, aiming to advance hybrid quantum-classical systems.
IonQ is set to install its 256-qubit Superion 256 quantum processor at the NVIDIA Accelerated Quantum Research Center (NVAQC), marking a significant milestone as the first deployment of an IonQ quantum processor at Nvidia's facility.
CEO Niccolo De Masi remarked, "We view this as the start of an exciting era for hybrid quantum-classical computing." This collaboration aims to enhance the development of hybrid quantum-classical systems.
The Superion 256 will connect directly to Nvidia's GB200 NVL72 infrastructure via NVQLink, utilizing the NVIDIA CUDA-Q platform for workload management. This integration is designed to explore how quantum processors can work alongside AI and GPU-accelerated computing to solve complex problems beyond the reach of traditional supercomputers.
Both companies plan to develop hybrid software, prototype large systems, and publish open findings, focusing on applications in finance, materials science, and drug discovery.
De Masi emphasized that this deployment will accelerate the shift towards hybrid computing, showcasing IonQ's scalable architecture. He also noted that IonQ is progressing towards its goal of achieving 10,000 qubits and full fault tolerance through its partnership with SkyWater CMOS manufacturing.
Nvidia's vice president for quantum technologies, Timothy Costa, highlighted that this collaboration is part of a broader trend where future supercomputers will integrate quantum computing into their infrastructure. He believes that placing the Superion 256 alongside the GB200 NVL72 will speed up advancements towards creating effective quantum supercomputers.
IonQ launched the Superion platform on September 8, with the system now available for order and initial deliveries anticipated in 2027, coinciding with its deployment at NVAQC.
In July, a consortium of researchers from Nvidia, AWS, Lawrence Berkeley National Laboratory, and NASA introduced a model for assessing the synergy between quantum processors and classical supercomputers.
