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This collaboration establishes a critical architectural bridge between photonic quantum hardware and classical AI accelerators, enabling real-time error correction and pulse calibration within unified CUDA-Q workflows. By leveraging low-latency NVQLink interconnects, the framework allows for seamless hybrid computing that transitions from cloud experimentation to scalable, fault-tolerant deployments in data centers. This integration marks a significant step toward practical quantum advantage by tightly coupling quantum control electronics with high-performance GPU clusters.

Sursă care acoperăQuantum Computing Report

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Quandela and NVIDIA Outline Photonic QPU Integration Architecture via NVQLink

Quantum Computing Report15 septembrie 20262 min de cititArticolul și perspectiva sunt în engleză.

Quandela and NVIDIA have collaborated on a technical white paper outlining an architecture to integrate photonic Quantum Processing Units (QPUs) with classical AI and HPC environments using NVIDIA NVQLink. This framework connects Quandela's Quantum System Controller (QSC) to NVIDIA GPU nodes via a low-latency interconnect, enabling GPU-accelerated simulations, quantum error correction, and QPU pulse calibration within a unified host process running NVIDIA CUDA-Q and the MerLin Quantum Machine Learning framework. This initiative aims to facilitate the commercial adoption of hybrid quantum-classical computing across various phases, from cloud-hosted experimentation to scalable, fault-tolerant deployments. The post Quandela and NVIDIA Outline Photonic QPU Integration Architecture via NVQLink appeared first on Quantum Computing Report.

Photonic quantum computing developer Quandela and NVIDIA have published a joint technical white paper outlining an architectural framework to integrate photonic Quantum Processing Units (QPUs)…

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