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Quandela and NVIDIA are demonstrating a hybrid architecture where photonic quantum processors act as specialized accelerators alongside central GPUs within existing AI workflows. This approach leverages sub-microsecond latency connections via NVQLink to offload specific quantum machine learning tasks without requiring a complete overhaul of current HPC infrastructure. The collaboration focuses on scaling practical quantum applications by integrating them incrementally into standard CUDA-based development pipelines.

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Quandela and NVIDIA link quantum processors to AI with NVQLink

Quantum ZeitgeistSeptember 14, 20265 min read

For IEEE Quantum Week 2026, held in Toronto from September 13 to 18, Quandela is showcasing an approach to integrating quantum processors (QPUs) into AI and high-performance computing (HPC) infrastructures with NVIDIA NVQLink. In this approach, the quantum processor acts as a specialized accelerator, while the GPU remains at the core of the AI workflow.

At IEEE Quantum Week 2026 in Toronto, Quandela is demonstrating a pathway to integrate quantum processing units (QPUs) into existing artificial intelligence and high-performance computing infrastructure using NVIDIA NVQLink, the company says. The companies are publishing a technical white paper outlining an architecture where GPUs remain central to AI workflows, with the QPU acting as a specialized accelerator. “The challenge is no longer just about accessing a QPU, but about integrating it directly into AI workflows,” says Jean Senellart, Chief Technology and Product Officer at Quandela, as the collaboration aims to identify and scale quantum applications without requiring a complete…

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