industryOQC Advances Integration of Quantum Computing and AI Supercomputing with NVIDIA NVQLink
PRESS RELEASE OQC Advances Integration of Quantum Computing and AI Supercomputing with NVIDIA NVQLink Oxford Quantum Circuits (OQC), a global leader in quantum computing, is working with NVIDIA on NVQLink, a groundbreaking open system architecture that provides real-time, low-latency connectivity between quantum and AI supercomputing systems. SHARE ARTICLE London, UK, 28 October 2025  â Oxford Quantum Circuits (OQC), a global leader in quantum computing, is working with NVIDIA on NVQLink, a groundbreaking open system architecture that provides real-time, low-latency connectivity between quantum and AI supercomputing systems. This initiative builds on OQCâs earlier announcement of its collaboration with NVIDIA on  the industryâs first quantum-AI data centre in New York City with Digital Realty â a landmark step towards scalable, hybrid quantum-classical computing in the heart of financial and national infrastructure. OQCâs vision for the future of hybrid compute is one where quantum processors and classical supercomputers work seamlessly together to unlock new levels of performance and scalability. NVQLink represents a major step towards this future, offering the open, interoperable foundation needed to connect the worldâs most advanced computing technologies. âNVIDIA NVQLink is a milestone for the industry, providing the platform that will help accelerate the transition towards truly hybrid computing,â said Simon Phillips, Chief Technology Officer at OQC. âAt OQC, we believe the future of computing will be built on collaboration between the worldâs most advanced quantum and classical systems â and NVQLink helps make that vision possible.â Bridging Quantum and AI Supercomputing At the heart of NVQLink lies a real-time, low-latency and high-throughput connection layer, optimised for hybrid quantum-classical orchestration. Built on NVIDIA CUDA-Q, NVQLink allows developers and hardware partners to interlace compute resources (GPUs, CPUs and QPUs) with sub-4 mi