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IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center

Mohamed Abdel-Kareem
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IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center 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 installed at the NVIDIA Accelerated Quantum Research Center (NVAQC). Scheduled for installation in 2027 alongside first commercial deliveries, the deployment establishes a direct hardware interconnect between IonQ’s 256-qubit system and an NVIDIA GB200 NVL72 accelerated computing rack via NVIDIA NVQLink. Hybrid quantum-classical workloads across the unified system will be orchestrated by the open-source NVIDIA CUDA-Q software platform.
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IonQ Selected as First On-Premise QPU Deployment at NVIDIA’s Accelerated Quantum Research Center 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 installed at the NVIDIA Accelerated Quantum Research Center (NVAQC). Scheduled for installation in 2027 alongside first commercial deliveries, the deployment establishes a direct hardware interconnect between IonQ’s 256-qubit system and an NVIDIA GB200 NVL72 accelerated computing rack via NVIDIA NVQLink. Hybrid quantum-classical workloads across the unified system will be orchestrated by the open-source NVIDIA CUDA-Q software platform. The joint research initiative at NVAQC focuses on co-designing tightly integrated quantum-GPU architectures and building open-source hybrid software frameworks. The deployment targets high-impact applications across portfolio optimization and financial risk modeling, data center materials science, and computational chemistry for drug discovery. The announcement follows recent joint research published by IonQ, NVIDIA, Oak Ridge National Laboratory, and the University of Tennessee at IEEE Quantum Week 2026, which demonstrated generative AI coupled with distributed quantum algorithms on CUDA-Q. [ IonQ Superion 256 & NVIDIA NVAQC Hardware Integration ]System LayerHardware & Fabric SpecificationsOperational FunctionalityQuantum Subsystem• IonQ Superion 256 QPU• On-chip Electronic Qubit Control (EQC)• Fabricated via SkyWater CMOS Foundry• 256 Physical Trapped-Ion Qubits• Standard Server-Rack Footprint• Low Power Consumption vs. GPU RacksClassical AI Subsystem• NVIDIA GB200 NVL72 Rack• Liquid-cooled Blackwell Superchip Cluster• Accelerates Classical Subroutines• High-Speed Neural Network Training• Real-time Quantum Error Correction DecodingInterconnect & Stack• NVIDIA NVQLink Physical Interconnect• NVIDIA CUDA-Q Platform Orchestration• Sub-microsecond QPU-GPU Latency• Open-Source Unified Compiler• Co-Designed Algorithmic Execution Unveiled earlier in September 2026, the Superion 256 architecture eliminates bulky free-space optical laser systems by implementing chip-scale Electronic Qubit Control (EQC)—derived from IonQ’s acquisitions of Oxford Ionics and SkyWater Technology. By utilizing planar semiconductor manufacturing, the Superion platform is engineered to scale from 256 qubits to 10,000+ qubits with integrated cryo-CMOS logic, allowing full QPU systems to fit into standard data center server racks without custom cryogenic or optical infrastructure buildouts. Review the official press release on IonQ Investor Relations here and read our prior coverage of IonQ’s Sixth-Generation Superion 256 QPU Launch here. September 23, 2026 Mohamed Abdel-Kareem2026-09-23T19:29:38-07:00 Leave A Comment Cancel replyComment Type in the text displayed above Δ This site uses Akismet to reduce spam. Learn how your comment data is processed.

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trapped-ion
drug-discovery
quantum-finance
quantum-standards
quantum-computing
quantum-algorithms
quantum-hardware
quantum-error-correction
ionq

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Source: Quantum Computing Report

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