ORCA Computing Advances Hybrid Quantum–Classical Integration with NVIDIA NVQLink

LONDON & AUSTIN, Texas--(BUSINESS WIRE)--ORCA Computing, a leading quantum computing company, today announced its participation in the launch of NVIDIA NVQLink, a new open reference architecture that enables tight integration between quantum and classical computing resources.

NVQLink defines an open, modular reference architecture that supports multiple quantum modalities and enables real-time interaction between classical GPU resources and quantum processors through a “real-time hub.” By providing fast, scalable communication across quantum and classical systems, the hub supports tightly coupled hybrid applications such as machine learning, simulation and optimization. The hub also supports control tasks such as quantum error correction, decoding and calibration which will be essential for future fault tolerant quantum computers.

Building on its success integrating NVIDIA accelerated computing and the NVIDIA CUDA-Q platform with its PT-Series photonic systems, ORCA is bringing NVQLink to its proven hybrid architecture, to demonstrate how real-world, scalable quantum–AI systems can be deployed today. ORCA’s approach uniquely combines the immediate practicality of photonics with the power of GPU acceleration, providing a clear blueprint for organizations seeking to run useful quantum-enhanced workloads within their existing data center environments.

“ORCA’s PT-Series systems demonstrate that hybrid quantum–classical computing is already delivering real value,” said Richard Murray, PhD, Co-founder and CEO of ORCA Computing. “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.”

For ORCA, NVQLink advances its mission to make quantum–AI integration practical and accessible. The company’s PT-Series systems, already equipped with NVIDIA accelerated computing and deployed at sites including the Poznań Supercomputing and Networking Center (PCSS) and the UK’s National Quantum Computing Centre, demonstrate how photonic processors can be coupled with GPUs to execute hybrid machine learning and generative AI workloads today.

“The future of computing depends on seamlessly bridging quantum processors with classical supercomputing infrastructure to unlock hybrid quantum-AI applications at scale,” said Tim Costa, General Manager for Quantum at NVIDIA. “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 on a series of ORCA Computing initiatives with NVIDIA that demonstrate the growing impact of quantum-GPU integration. Earlier this year, ORCA announced a blueprint for quantum–AI integration at the Poznań Supercomputing and Networking Center (PCSS), followed by the deployment of a hybrid quantum-classical system at the UK’s National Quantum Computing Centre (NQCC), and the introduction of a distributed photonic quantum neural network with NVIDIA CUDA-Q. Each of these milestones highlights the strategic collaboration between ORCA and NVIDIA to accelerate progress at the intersection of photonic quantum systems and GPU-accelerated AI.

About ORCA Computing

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.

For more information, please visit https://orcacomputing.com