ORCA Computing and PCSS Unveil Blueprint for Quantum AI in Data Centers Powered by NVIDIA
A cross‑institutional collaboration has produced a practical blueprint for running quantum‑enhanced AI workloads inside real data centers. By pairing ORCA’s photonic quantum processors with NVIDIA’s accelerated computing stack, the effort demonstrates how organizations can start deploying hybrid quantum‑classical systems to tackle next‑generation machine learning tasks without sweeping infrastructure overhauls.
Two photonic processors from ORCA were deployed within the Poznan Supercomputing and Networking Center (PCSS) data center, alongside NVIDIA Hopper accelerators. The hardware is housed in standard 19‑inch racks and operates at ambient temperature, all integrated through a unified software layer that coordinates classical and quantum resources from a single environment. This marks a notable step in making photonic quantum processing a practical component of modern HPC and AI workflows.
A PCSS technical lead emphasized that embedding quantum accelerators into an existing data‑center footprint is feasible today thanks to straightforward integration with conventional accelerators. The project also expands on earlier research conducted with academic partners, translating distributed quantum neural network concepts into an operational in‑house setting.
From NVIDIA’s perspective, the central role of the software stack in enabling these hybrid systems is clear. It provides a scalable, open framework for cross‑architecture workloads, accelerating development and enabling more researchers and engineers to experiment with quantum‑assisted AI. The team envisions smoother latency, richer algorithmic capability, and scalable growth as more capable quantum devices come online.
Overall, the effort demonstrates that quantum computing can move from theoretical proposals into day‑to‑day HPC usage. The collaboration intends to broaden the library of supported algorithms and workflows, while continuing to refine orchestration between quantum and classical compute units to reach larger, more capable quantum systems with real‑world impact.
Context and momentum
The initiative sits within a growing wave of work at the intersection of photonic quantum processing and GPU‑accelerated AI. Across Europe and North America, researchers and industry partners are exploring how to weave quantum accelerators into existing data‑center ecosystems, enabling organizations to explore quantum‑enhanced AI without a complete hardware replacement.
About ORCA Computing
ORCA Computing specializes in photonic quantum computing systems designed for data‑center integration. Based in Europe with an international footprint, the company focuses on scalable quantum processors that can be deployed alongside classical AI pipelines for workloads such as machine learning, optimization, and generative applications.