OrangeQS Secures €15M Seed Funding to Accelerate Chip Testing

Orange Quantum Systems has secured an additional €15 million in seed funding, bringing the total raised to €27 million and signaling strong investor confidence in the growing field of quantum chip testing. The Delft-based company will use the funds to accelerate development of its OrangeQS MAX product line, a turn-key system designed for fast, automated quantum chip testing, and has simultaneously launched the OrangeQS MAX Partnership Program with initial participants Rigetti, QuantWare, and Peak Quantum. This collaborative effort will allow these leading quantum computing companies to directly influence the technology roadmap while protecting their intellectual property. “OrangeQS MAX already sets new industry benchmarks for high-volume, automated quantum chip testing,” said Garrelt Alberts, executive director of OrangeQS. “With our new Partnership Program and support of EIC Fund, we are set to consolidate our leading position in one of the most challenging parts of the quantum computing sector as it scales towards commercial production.”

€15 Million Seed Funding Fuels OrangeQS & Quantum Partnerships

The additional funds will directly accelerate the development of the OrangeQS MAX product line, a fully automated system designed to rapidly assess the performance of quantum chips, addressing a critical need as chip complexity increases and scalability becomes paramount. Coinciding with this financial boost, Zeina Chebli, an investor from the EIC Fund, will join the OrangeQS board, bringing valuable expertise and access to further resources. This program focuses initially on parallel and non-destructive testing technologies, ensuring the system remains adaptable to future quantum chip architectures and production processes, and will enable faster cryogenic quantum chip testing. This forward-thinking approach reflects a broader commitment to addressing bottlenecks in scaling quantum technologies, a sentiment echoed by Svetoslava Georgieva, Chair of the EIC Fund Board, who stated, “This investment reflects the EIC Fund’s commitment to backing Europe’s most ambitious deep tech innovators. By advancing quantum chip performance validation, OrangeQS is addressing a key bottleneck in scaling quantum technologies.”

OrangeQS MAX Program Targets Parallel, Non-Destructive Chip Testing

The demand for increasingly complex quantum chips is rapidly outpacing current testing capabilities, creating a critical bottleneck in the field’s progression; existing methods often struggle to balance speed, precision, and cost-effectiveness as qubit counts rise. Orange Quantum Systems is addressing this challenge with a bolstered financial position, having secured €15 million in this seed funding round, following a previous €12 million closing, and a newly launched initiative designed to accelerate testing solutions. This latest investment round includes support from the European Innovation Council’s Fund, demonstrating confidence in the company’s deep-tech focus and potential for rapid expansion. Central to OrangeQS’s strategy is the OrangeQS MAX Partnership Program, a collaborative effort designed to align development of its automated testing systems with the needs of key quantum chip manufacturers.

Rigetti Computing, QuantWare, and Peak Quantum are the initial participants, each working independently with OrangeQS to tailor the OrangeQS MAX technology roadmap to their specific architectures and production processes while protecting their intellectual property. This approach ensures future test solutions will remain compatible with evolving chip designs and manufacturing techniques, with initial focus on parallel and non-destructive testing technologies. This framework proposes utility-grade quantum chip testing as a fundamental component of efficient quantum chip production.

OrangeQS MAX already sets new industry benchmarks for high‑volume, automated quantum chip testing.

Garrelt Alberts, executive director of OrangeQS
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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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