Quantum Technology, Quantum Networking

AUREA Technology outlines path to scalable quantum networks

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August 27, 2026 by Ivy Delaney

AUREA Technology is refocusing its efforts on four key photonic functions: single-photon detection, picosecond timing, entangled-photon generation, and ultrafast pulsed lasers. This signals a shift from experimental quantum technology toward practical, scalable components.

At the June 16, 2026, EPIC Technology Meeting in Berlin, Jérôme Prieur, co-founder and CEO of AUREA Technology, outlined a path for quantum communication components to achieve compactness, reliability, interoperability, and manufacturing scalability, the company says. “Quantum technologies are reaching a stage where system architecture and industrial integration matter as much as laboratory performance,” said Prieur, as AUREA Technology designs modules for telecom quantum networks and future space-to-ground communication infrastructures.

AUREA Technology’s Portfolio: Single-Photon to Ultrafast Laser Components

AUREA Technology is building a portfolio spanning single-photon detection to ultrafast lasers, signaling a deliberate shift from purely experimental quantum work toward commercially viable components. Prieur articulated a clear vision for industry needs, stating, “Our role is to provide system integrators with high-performance photonic building blocks that can be integrated, qualified, manufactured, and deployed at scale.” This commitment extends to designing modules and rack-level architectures specifically for telecom quantum networks and emerging space-to-ground communication infrastructures. AUREA Technology’s approach prioritizes compactness, reliability, interoperability, and manufacturing scalability, addressing key hurdles for widespread quantum network deployment.

Quantum technologies are reaching a stage where system architecture and industrial integration matter as much as laboratory performance.

Jérôme Prieur, co-founder and CEO of AUREA Technology
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Photonics Quantum communications quantum networks
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Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

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