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Alice & Bob joins Europe’s first quantum error correction network

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August 12, 2026 by Ivy Delaney

Alice & Bob is joining a €4.6 million, 48-month research network to address a critical skills gap in quantum computing. QuBriC, Europe’s first Marie Skłodowska-Curie Actions Doctoral Network dedicated to quantum error correction, will recruit and train 15 doctoral researchers across 16 universities and seven quantum companies, including ETH Zürich and TU Delft.

“Quantum error correction sits at the heart of any fault-tolerant quantum computer, interacting with all aspects of it,” said Christophe Vuillot, Principal Research Scientist, QEC at Alice & Bob. The network aims to combine expertise from quantum information, coding theory, and hardware engineering to accelerate the development of practical, fault-tolerant quantum computers.

QuBriC Doctoral Network Advances Quantum Error Correction Training

Alice & Bob is actively contributing its specialized knowledge of cat-qubit error correction to QuBriC, a newly established doctoral network focused on quantum error correction. Backed by €4.6 million in Horizon Europe funding distributed over 48 months, QuBriC will support the training of 15 doctoral researchers across the continent. This collaboration aims to overcome a key obstacle in quantum computing development; expertise in quantum error correction is currently fragmented between classical coding theory and quantum physics.

QuBriC intends to bridge this divide by fostering interdisciplinary research and training, encompassing the entire quantum error correction stack from theoretical algorithms to practical hardware implementation. The network’s structure, funded through the MSCA program, differs from traditional research grants by supporting international consortia that jointly recruit, train, and supervise doctoral candidates.

For Alice & Bob, participation in QuBriC offers access to a pipeline of highly specialized talent and a strong academic network focused on fault-tolerant quantum computing. The company’s contribution extends beyond technical expertise; it will also play a role in shaping the network’s research direction and curriculum. The MSCA program has a 30-year history of advancing research and innovation, having supported over 150,000 researchers, including 23 Nobel Prize winners, and fostering mobility between disciplines, sectors, and countries.

Doctoral candidates within QuBriC will gain experience in both academic and industrial settings, equipping them with the technical and transferable skills necessary to tackle major scientific and technological challenges. This approach ensures that graduates are well-prepared to contribute to the advancement of scalable, fault-tolerant quantum computers, a goal widely recognized as essential for realizing the full potential of the technology.

Quantum error correction sits at the heart of any fault-tolerant quantum computer, interacting with all aspects of it.

Christophe Vuillot, Principal Research Scientist, QEC at Alice & Bob
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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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