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The practical integration of quantum computing with classical high-performance computing is a critical milestone for the industry. ORCA Computing, a leading quantum computing company, has announced its participation in the launch of NVIDIA NVQLink, an open reference architecture designed to tightly couple quantum and classical computing resources. This integration advances ORCA's mission to make quantum-AI integration both practical and accessible for solving real-world problems today.
ORCA Computing is integrating NVIDIA's new NVQLink architecture into its photonic quantum systems.
NVQLink enables real-time interaction between quantum processors and classical GPU resources.
The integration supports hybrid applications like machine learning, simulation, and optimization.
It also provides the foundation for future control tasks like quantum error correction.
ORCA's PT-Series systems, already deployed at supercomputing centers, demonstrate this hybrid approach.
The collaboration provides a blueprint for deploying useful quantum-enhanced workloads in existing data centers.
NVQLink defines an open, modular reference architecture that acts as a "real-time hub," enabling fast, scalable communication between quantum and classical systems. This hub supports tightly coupled hybrid applications, including machine learning and simulation, as well as essential control tasks like quantum error correction and calibration that will be critical for future fault-tolerant quantum computers.
Richard Murray, PhD, Co-founder and CEO of ORCA Computing, emphasized the immediate applicability, stating, “ORCA’s PT-Series systems demonstrate that hybrid quantum–classical computing is already delivering real value. Our photonic approach integrates directly with NVIDIA accelerated computing and the CUDA-Q software platform to unlock quantum-enhanced performance in AI and simulation today, while providing a scalable architecture for future error-corrected systems. NVQLink is the connective framework that allows both to evolve together.”
ORCA's PT-Series systems are already equipped with NVIDIA accelerated computing and are deployed at major sites, including the Poznań Supercomputing and Networking Center and the UK’s National Quantum Computing Centre. These deployments demonstrate how photonic processors coupled with GPUs can execute hybrid machine learning and generative AI workloads.
Tim Costa, General Manager for Quantum at NVIDIA, highlighted the shared vision, saying, “The future of computing depends on seamlessly bridging quantum processors with classical supercomputing infrastructure. QPU builders like ORCA Computing are working with NVIDIA to make quantum–AI integration practical and accessible through CUDA-Q's open platform, helping to speed breakthroughs for the quantum computing ecosystem.”
This announcement builds upon a series of successful initiatives between ORCA and NVIDIA, including a blueprint for quantum-AI integration and the deployment of a distributed photonic quantum neural network. The ongoing collaboration is strategically focused on accelerating progress at the intersection of photonic quantum systems and GPU-accelerated AI, providing a clear and scalable path forward for enterprises looking to leverage quantum computing within their existing infrastructure.
ORCA Computing, headquartered in London, UK, with offices in the United States, is a leading developer and provider of full-stack photonic quantum computing systems. The company delivers an innovative approach to quantum computing, providing robust, high-performance, and data center-standard systems for machine learning, generative AI and optimization workloads. ORCA Computing has successfully delivered ten on-premises quantum computers to leading global customers, including the UK National Quantum Computing Centre, Montana State University, and the Poznan Supercomputing and Networking Center.
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