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This white paper details a hybrid architecture where photonic QPUs act as specialized accelerators within existing NVIDIA GPU-based AI and HPC workflows, eliminating the need for infrastructure replacement. The framework leverages CUDA-Q and cuQuantum to allow algorithm development and simulation on GPUs before execution on quantum hardware, facilitating a gradual adoption path for organizations.

Sources coveringThe Quantum Insider, terrytao.wordpress.com, Latent Space, Quantum Zeitgeist

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Quandela Publishes White Paper on Photonic QPU Integration With NVIDIA Infrastructure

The Quantum InsiderSeptember 14, 20263 min read

Insider Brief PRESS RELEASE — Building on our June announcement of a low-latency integration between a Quandela photonic QPU and NVIDIA AI infrastructure, the companies are publishing a technical white paper today. This paper outlines a vision and architectural framework for gradually integrating quantum computing into current AI and HPC environments. This approach is based […]

Quandela and NVIDIA have published a technical white paper outlining an architecture for integrating Quandela’s photonic QPUs into existing AI and HPC infrastructure. The framework combines CPUs, GPUs and QPUs, with NVIDIA CUDA-Q, cuQuantum and NVQLink supporting quantum algorithm development, GPU simulation and low-latency QPU integration. The companies propose a three-step path covering access, integration and discovery,…

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