The Technology Innovation Institute (TII) 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.
