Abu Dhabi, UAE – March 17, 2026: The Technology Innovation Institute (TII), the applied research pillar of Abu Dhabi’s Advanced Technology Research Council (ATRC), today announced the direct integration of its recently released Quantum Computing Cloud Platform with the NVIDIA CUDA-Q platform for hybrid quantum-classical computing.
This integration enables researchers and developers worldwide to submit quantum jobs directly to TII’s physical quantum hardware and simulators, available at https://q-cloud.tii.ae, using the NVIDIA CUDA-Q programming interface. By bridging TII’s cloud-based quantum infrastructure with NVIDIA’s hybrid quantum-classical programming model, the integration significantly lowers technical barriers to entry and enables high-performance experimentation across quantum computing workflows.
The integration delivers a "write-once, run-anywhere" experience, offering two distinct pathways for job submission:
- Native Integration: Utilizing TII’s specialized Python client to deploy quantum circuits and algorithms directly to TII’s cloud infrastructure.
- Standardized CUDA-Q Interfaces: Leveraging standard Python or C++ CUDA-Q code to target TII’s cloud-based QPUs (Quantum Processing Units) as a seamless backend.
Dr. Leandro Aolita, Chief Researcher of TII’s Quantum Research Centre, said: "Our goal is to make quantum computing on our in-house QPUs both accessible and performant for the global research community. By enabling CUDA-Q users to submit jobs directly to our cloud platform, we are not just providing a service; we are integrating the UAE’s sovereign quantum-technology capabilities into the global fabric of hybrid high-performance computing (HPC)."
Through this integration, CUDA-Q developers can select TII as a target backend with a simple configuration change, accelerating the development of hybrid quantum-classical algorithms in fields such as materials science, cryptography, and optimization. In doing so, the integration strengthens TII’s quantum ecosystem by enabling global developers to access its in-house quantum hardware through a widely adopted hybrid computing framework.
