SiPearl’s Rhea1 CPU will test integration with Quobly’s quantum system

SiPearl’s Rhea1 CPU and Seine reference server will be the initial hardware tested in integration with a quantum processing unit from Quobly. This collaboration unites SiPearl’s high-performance CPU technology with Quobly’s silicon spin qubit processors, specifically within Quobly’s Alloy product line, to assess the feasibility of a combined system architecture. “Building scalable quantum computers also means building the classical computing environment around them,” says Maud Vinet, CEO and Co-founder of Quobly, as the companies also plan to jointly pursue funding opportunities through the Chips Joint Undertaking on Quantum.

Rhea1 CPU and Quobly QPU Integration for Hybrid Systems

This initial phase focuses on assessing the technical feasibility of combining the two technologies within a shared system architecture, going beyond theoretical discussions to practical implementation. The collaboration centers on Quobly’s Alloy product line, a family of quantum computers designed for high-performance computing and research users with cloud access expected by the end of 2026.

SiPearl’s Rhea1 CPU will test integration with Quobly’s quantum system
Source: quobly.io

Quobly’s long-term scaling strategy aims for one million qubits by 2032, using principles from Very Large-Scale Integration (VLSI) to increase computational capacity through semiconductor integration rather than expanding physical infrastructure. The company believes this approach will deliver predictable system footprint, energy requirements and return on investment as quantum computing scales.

This coordinated effort highlights a commitment to building a European sovereign computing ecosystem, reducing reliance on non-European suppliers and encouraging innovation within the region. “We have had close ties with Quobly for a long time, thanks in particular to SiPearl’s R&D centre in Grenoble, but above all because we share the same vision regarding the need to build a European hardware ecosystem for sovereign computing,” concluded Philippe Notton, CEO and Founder of SiPearl.

“This first partnership with a quantum expert marks another significant milestone in the development of this ecosystem which will offer complementary sovereign hardware solutions in the fields of HPC, AI and quantum computing for Europe’s strategic applications.” Quobly’s approach to quantum computer construction relies on silicon spin qubits and advanced semiconductor manufacturing, co-designing processors with STMicroelectronics on a 300mm FD-SOI manufacturing platform.

This reliance on established semiconductor techniques aims to accelerate scalability and reduce the complexities typically associated with quantum hardware development. The company’s value chain extends to partnerships with Air Liquide, Soitec, and Orano, securing a supply of silicon-28 and accelerating the industrialization of its quantum processors. In June 2026, Quobly secured €115 million in Series A funding led by Bpifrance and STMicroelectronics, further bolstering its commercialization efforts.

“By exploring the integration of SiPearl’s CPU technology with our quantum computers, we are looking at how HPC and quantum computing can work together efficiently, from the system level to future architectures.” Vinet explains that this cooperation is integral to the company’s ambition to integrate quantum computers into existing computing infrastructures, rather than requiring entirely new systems. The partnership represents a move toward a more cohesive and practical quantum computing landscape, one where classical and quantum resources can be smoothly combined to tackle complex computational challenges.

Building scalable quantum computers also means building the classical computing environment around them. By exploring the integration of SiPearl’s CPU technology with our quantum computers, we are looking at how HPC and quantum computing can work together efficiently, from the system level to future architectures.

Maud Vinet, CEO and Co-founder of Quobly

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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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