IonQ’s FIU deal follows its NVIDIA Superion deployment plan

On September 24, 2026, IonQ announced a separate Superion 256 contract with Florida International University (FIU), one day after announcing a planned installation at NVIDIA’s Accelerated Quantum Research Center (NVAQC). IonQ scheduled the NVAQC installation for 2027; FIU’s system is expected in late 2027, after the university completes its on-campus data center.

What IonQ and NVIDIA plan for NVAQC

IonQ said the Superion 256 is planned to become the first quantum processing unit (QPU) installed at NVAQC. The announced setup would connect it to an NVIDIA GB200 NVL72 system through NVIDIA NVQLink, with NVIDIA CUDA-Q orchestrating workloads.

A QPU processes quantum information. In a hybrid quantum-classical system, quantum hardware works alongside conventional computing; the NVAQC plan brings the IonQ processor together with NVIDIA’s accelerated-computing system.

Three placements, distinct arrangements

The NVAQC plan, the FIU contract and IonQ’s agreement with SDT are separate arrangements—not a single deployment with one shared schedule.

IonQ announced its NVAQC plan on September 23, 2026, with installation scheduled for 2027. The separate FIU contract followed on September 24. FIU’s system is described as having 256 physical trapped-ion qubits, and installation is expected in late 2027 after the university completes its on-campus data center.

On September 21, IonQ announced a separate multi-year partnership with Korea-based SDT involving a Superion 256 system and a silicon-vacancy quantum memory module, as well as regional manufacturing collaboration.

Research the hybrid system is meant to support

The NVAQC collaboration aims to develop hybrid quantum-classical software, prototype large-scale systems and investigate quantum-GPU co-design. IonQ also named portfolio optimization and financial risk modeling, materials science, and computational chemistry for drug discovery as research areas.

The companies intend to share research results and develop a guide for future AI use cases and quantum-GPU co-design. These are goals for the planned work, not results of an installed system.