Q-PLANET’s Pasqal leads €50M EU project for neutral-atom quantum chips

Pasqal is leading a €50 million, three-year project, Q-PLANET, to build an industrial-grade supply chain for neutral-atom quantum computing components across Europe. The consortium of 28 partners from 11 countries will focus on developing key components including lasers at 461 nm, 698 nm, 795 nm and 1013 nm, alongside atom chips and microfabricated vapor cells. Loïc Henriet, CTO of Pasqal, said the project aims to connect quantum hardware with real-world applications like drug and materials discovery.

Q-PLANET: €50M EU Project for Neutral-Atom Technology Development

The consortium intends to move beyond laboratory prototypes by creating Process Design Kits and Assembly Design Kits, tools that will enable consistent and repeatable manufacturing of these delicate components. These kits will also incorporate energy-efficiency monitoring throughout the production cycle, which is an important consideration for large-scale quantum computers.

Pasqal will spearhead the development of chip-based laser sources operating at 1013nm, a core technology stream within Q-PLANET, while simultaneously acting as an end-user for the microfabricated vapor cells and laser sources produced by other partners. This dual role ensures that the developed components meet stringent performance requirements and are directly applicable to building advanced quantum systems.

The project’s scope extends beyond component fabrication to include the establishment of a resilient European quantum supply chain, aiming to reduce reliance on external sources for critical technologies and bolster the EU’s strategic autonomy in this rapidly evolving field. “Three months after our kick-off in Brussels, Q-PLANET has moved from ambition to execution. Together with our 28 partners, we are building a European supply chain for neutral-atom technologies, while bringing quantum industrialization closer to concrete user needs,” said Loïc Henriet, CTO of Pasqal.

The collaborative effort brings together 28 partners across 11 European countries, encouraging cooperation between research institutions, technology companies and academic groups. This pan-European approach is designed to accelerate the translation of scientific discoveries into practical applications, with a particular emphasis on sectors like drug discovery and materials science.

Q-PLANET’s focus on user needs is intended to drive the development of quantum technologies that address real-world challenges and create a viable European quantum market, the company says. “Q-PLANET reflects commitment to Europe’s quantum ambitions, bridging large-scale industrialization rooted in resilient capabilities with real-world application to build a globally competitive and resilient European quantum industry.” The project’s ultimate goal is to bridge the gap between quantum hardware and practical deployment.

Three months after our kick-off in Brussels, Q-PLANET has moved from ambition to execution. Together with our 28 partners, we are building a European supply chain for neutral-atom technologies, while bringing quantum industrialization closer to concrete user needs.

Loïc Henriet, CTO of Pasqal
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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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