IonQ installs first on-premise quantum system at Nvidia's research center in 2027

IonQ: IonQ develops and commercializes trapped-ion quantum computing systems for various applications. The company is deploying its Superion 256 processor as the first on-premise quantum system at Nvidia’s Accelerated Quantum Research Center. This installation supports joint research on hybrid quantum-GPU computing. CUDA-Q: CUDA-Q is Nvidia’s software platform for developing and running quantum-classical hybrid applications. It will orchestrate workloads between IonQ’s quantum processor and Nvidia’s GPU systems in the joint research. The platform integrates quantum and classical computing resources. Nvidia: Nvidia provides GPU hardware and software platforms, including systems for accelerated computing. It is hosting IonQ’s Superion 256 at its Accelerated Quantum Research Center and enabling direct connections through NVQLink. The collaboration focuses on hybrid quantum-classical workloads using Nvidia technologies. NVQLink: NVQLink is Nvidia’s interconnect technology designed to link quantum processors with GPU systems. It enables the Superion 256 to connect directly to the GB200 NVL72. This link supports efficient data exchange for hybrid quantum-GPU research. GB200 NVL72: GB200 NVL72 is Nvidia’s GPU-based computing system optimized for high-performance workloads. It will receive direct connections from IonQ’s Superion 256 via NVQLink. The system supports orchestration of hybrid quantum-GPU tasks through Nvidia software. Superion 256: Superion 256 is IonQ’s quantum processor designed for on-premise deployment and advanced research applications. It forms part of IonQ’s development path toward larger-scale and fault-tolerant quantum systems. The processor will be installed at Nvidia’s research facility to enable hybrid computing experiments. Research Collaboration: IonQ and Nvidia are partnering to advance hybrid quantum-GPU computing through on-premise deployment and direct hardware integration. Technology Integration: The setup combines IonQ’s quantum processor with Nvidia’s GPU hardware and software stack for applications in financial modeling, materials science, and computational chemistry.