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Quandela Publishes White Paper on Photonic QPU Integration With NVIDIA Infrastructure

Mohib Ur Rehman
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⚡ Quantum Brief
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.
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Quandela Publishes White Paper on Photonic QPU Integration With NVIDIA Infrastructure

Insider BriefPRESS 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 on the complementarity of CPUs, GPUs and QPUs. The CPU orchestrates workflows, while the GPU remains at the center of AI processing, notably handling intensive computation and simulation. The QPU acts as a specialized accelerator for workloads for which quantum computing could bring significant value.Thanks to the NVIDIA CUDA-Q platform (an open quantum-GPU supercomputing programming platform) and NVIDIA cuQuantum (an SDK optimized for simulating quantum computations on GPUs), algorithms can be developed, simulated and tested on GPU before being run on an actual photonic QPU. NVIDIA NVQLink enables a low-latency connection between the NVIDIA GPU environment and the Quantum System Controller, which then controls the QPU.Organizations can thus progressively explore quantum applications by relying on their existing computing infrastructure, without having to replace their current environments.By facilitating the integration of quantum computing into current AI and HPC environments, this platform empowers users to experiment, develop, and test quantum applications directly from their standard workflows.The primary goal is to identify workloads where quantum computing can deliver significant value and progressively bring the most relevant applications to light.The collaboration follows a three-step approach: Access, Integration & Discovery, and Scale.This approach allows users to progress step by step toward quantum computing, building on their existing infrastructure and developing new capabilities as high-potential applications are identified.The architecture developed by Quandela building on NVIDIA technologies will be presented at IEEE Quantum Week 2026 in Toronto on the morning of September 17, at the NVIDIA booth (#600).At the event, Quandela’s teams will discuss the integration of photonic QPUs into AI and HPC infrastructures with visitors and present their joint publication on this new hybrid architecture combining GPU and QPU computing capabilities.Jean Senellart, Chief Technology and Product Officer at Quandela states:“The challenge is no longer just about accessing a QPU, but about integrating it directly into AI workflows. With NVIDIA, we are opening a path where the photonic QPU becomes a specialized accelerator for exploring and validating hybrid algorithms, particularly in QML, before scaling the most promising use cases.”Sam Stanwyck, Director of Quantum Product at NVIDIA says:“Quantum computing becomes more useful when it moves beyond standalone access and becomes part of the accelerated computing researchers already use. Our work with Quandela provides a step-by-step model for bringing photonic QPUs into NVIDIA quantum-GPU supercomputing, helping teams identify promising applications today and scale them as more powerful systems come online.”You can download the White Paper from here,TopicsShare Get the latest research, company news, and market intelligence every week. MENTIONED IN THE ARTICLEQuandela is a French startup that specializes in photonic quantum computing by providing modular, scalable, and energy-efficient photonic quantum computers, accessible both on the cloud and on premise. They provide prototyping services with their Perceval simulator alongside their general purpose chips optimized chips, and development of algorithms and protocols which provide photonic solutions for applications ranging from pharmaceutical and material design, to quantum machine learning, networking and optimization.NVIDIA Corporation is an American multinational technology company and a global player in accelerated computing and Artificial Intelligence (AI). Founded in 1993, the company pushes the aerospace frontier with the Space-1 Vera Rubin Module, a platform for orbital data centers that delivers massive AI-compute Space Computing. This NVIDIA technology enables satellites and autonomous spacecraft to process and fuse sensor data rapidly Space Computing.More in Research The Quantum Insider (TQI) is the leading source for the latest quantum technology news, market intelligence, industry analysis, and data covering the global quantum ecosystem. NEWSROOMPLATFORMSERVICESCOMPANY© 2026 The Quantum Insider. All rights reserved. Part of the Resonance networkOne of our team will be in touch to learn more about your requirements, and provide pricing and access options.Subscribe to our industry leading leading newsletter for the latest in quantum news and insights. We use cookies to analyse traffic and improve your experience. Privacy Policy

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