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QUDORA wins EU backing to scale its microwave qubit control tech

Avatar of Ivy Delaney
September 8, 2026 by Ivy Delaney

QUDORA Technologies is among 13 European quantum startups selected under the EuroHPC Joint Undertaking’s Quantum Grand Challenge, a program designed to bolster the continent’s quantum computing capabilities. The German full-stack quantum computing company announced that it has been selected as a result of the open call that concluded in January 2026, following the EuroHPC JU’s Governing Board approval of the final list on 19 June 2026.

The company’s NEQTAR project will detail a path for integrating its Near Field Quantum Control technology with existing European high-performance computing infrastructure. Through NEQTAR, QUDORA will map integration into supercomputing environments, aiming for a commercially viable, fault-tolerant quantum computer.

NEQTAR Project to Scale Near Field Quantum Control Technology

The project’s focus extends beyond theoretical advancement, aiming to define the technical and financial roadmap necessary for scaling the company’s proprietary technology. This integration will use Europe’s existing HPC capabilities, positioning QUDORA to deliver quantum computing systems through both on-premises installations and its QUDORA Cloud platform. Founded in 2021 and based in Braunschweig, Germany, QUDORA distinguishes itself with a full-stack approach to trapped-ion quantum computing.

Its Near Field Quantum Control technology combines precise qubit control with extended coherence times and manufacturing processes compatible with semiconductors, enhancing qubit performance. The company’s expansion into the Asia-Pacific region with the launch of QUDORA Japan K.K. demonstrates a commitment to international partnerships and commercial growth, further supported by this latest EU endorsement. Dr. Amado Bautista-Salvador, CEO and Co-Founder of QUDORA, stated that the selection as one of 13 European quantum companies reflects the team’s work and progress toward building a globally competitive quantum computing company from Europe.

Being selected as one of 13 European quantum companies is a testament to our entire team’s work and our progress toward building a globally competitive quantum computing company from Europe.

Dr. Amado Bautista-Salvador, CEO and Co-Founder of QUDORA

EuroHPC Funding Supports QUDORA’s Roadmap for Utility-Scale Quantum Computing

This designation distinguishes NEQTAR among the selected projects, signifying a rigorous evaluation of its technical merit and commercial viability by the European Commission. The project’s scope extends beyond simply demonstrating quantum control; it will detail a financial roadmap for scaling the technology, a critical component often missing from early-stage quantum ventures. According to the company, this integration isn’t merely about connecting quantum processors to HPC systems, but about architecting a cohesive system where both technologies complement each other.

The Quantum Grand Challenge operates in two phases, beginning with an open competitive call for startups in October 2025 and concluding in January 2026. The EuroHPC JU’s Governing Board approved the final list of selected proposals on 19 June 2026, selecting these companies as a result of this call.

This staged approach combines Horizon Europe grant funding with potential financing from the European Investment Bank, providing a multi-faceted support system for European quantum companies. QUDORA’s participation signifies a commitment to long-term development, as the project will chart a course for scaling its Near Field Quantum Control technology beyond initial demonstrations and toward practical, utility-scale applications.

It is a privilege to receive the EU’s recognition, and we are excited to use the NEQTAR roadmap to advance our Near-Field Quantum Control technology toward scalable, fault-tolerant quantum computers.

Dr. Giorgio Zarantonello, CTO and Co-Founder of QUDORA
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Avatar of Ivy Delaney

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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