QuBriC, a €4.66 million Horizon Europe doctoral network focused on quantum error correction, is bringing academic researchers and commercial quantum companies into a four-year training programme aimed at one of the most decisive constraints on useful quantum computing: keeping fragile calculations reliable long enough to perform meaningful work.

The programme is coordinated by Eindhoven University of Technology and is scheduled to run from 1 October 2026 until September 2030. It brings together 16 academic institutions and seven quantum companies across 11 countries, with 15 doctoral researchers expected to work across classical coding theory, quantum information, decoding, hardware integration, and experimental validation.

French quantum company Alice & Bob is among the industry participants, contributing expertise around error correction and its cat-qubit architecture. Researchers across the network will encounter different hardware approaches, an important consideration because an error-correction method suitable for one physical qubit technology may not transfer neatly to another.

The European Commission signed the grant agreement in July, with an EU contribution of €4,656,952.08 through the Marie Skłodowska-Curie Actions programme. Although the sum is modest beside the hundreds of millions being invested in quantum hardware companies, QuBriC addresses an input that cannot be purchased as quickly as laboratory equipment: researchers able to work across mathematics, software, control systems, and physical devices.

Quantum machines need errors engineered out

Quantum computers derive their potential from qubits whose states can encode and process information in ways unavailable to conventional bits, but those states are vulnerable to noise and unwanted interactions with their environment. Small physical errors can accumulate during a calculation until the information the machine is trying to preserve becomes unusable.

Quantum error correction addresses the problem by encoding useful logical information across multiple physical qubits and detecting errors without directly measuring away the quantum state. In principle, that allows a system to continue calculating even when individual components are imperfect; in practice, doing it efficiently requires close coordination between the code, hardware, decoder, control electronics, and algorithms.

The field therefore cannot be treated purely as a software layer added after better qubits arrive. An error-correction scheme may demand additional physical qubits, fast classical processing, particular connectivity between components, or control operations that are easier on one hardware architecture than another.

QuBriC is structured around that cross-stack problem. The programme combines methods from mature classical error correction with quantum information science, while doctoral candidates move through academic and industry environments via secondments and joint supervision.

Europe’s quantum constraint includes people

Governments across Europe have invested heavily in quantum research, national programmes, hardware companies, and computing infrastructure, but commercial progress will depend partly on whether those investments can draw on a sufficiently specialised workforce.

Quantum error correction sits in a particularly narrow skills intersection because researchers need enough knowledge of several disciplines to avoid optimising one layer while making another impractical. Training inside commercial environments gives doctoral researchers exposure to engineering constraints that may not be visible in purely theoretical work, while participating companies gain access to specialists whose research aligns with problems they expect to encounter as machines scale.

Alice & Bob provides one example because its hardware strategy is itself built around reducing one category of quantum error through cat qubits. That does not remove the need for broader fault-tolerance methods, but it creates a different balance of errors and engineering constraints from alternative hardware approaches.

QuBriC intends to operate across major qubit technologies so that methods can be compared and transferred rather than developing a workforce around a single commercial architecture. That approach is useful while the industry remains technically unsettled, since Europe does not yet know which hardware designs will dominate mature quantum computing or whether several will remain useful for different applications.

Research funding meets commercial uncertainty

Quantum computing still carries substantial uncertainty around timelines, useful applications, and the hardware resources required for systems able to outperform conventional machines on economically relevant work. Error correction is one reason those timelines are difficult to predict: demonstrating a high-quality physical qubit is not the same as operating enough reliable logical qubits to sustain a complicated calculation.

A doctoral network cannot resolve those engineering problems by itself, and its four-year horizon means many of the researchers will enter industry after hardware roadmaps have changed again. The programme instead invests in adaptability, training people to understand how error-correction techniques interact with different technologies rather than tying them to one implementation.

The Commission connects QuBriC with European priorities around digital infrastructure, deep-technology skills, and technological sovereignty. In quantum computing, sovereignty is often discussed through ownership of processors or access to machines, but control over hardware has limited value if the expertise required to make it useful has to be imported.

The programme begins in October, leaving its practical results several years away. Its structure nevertheless points towards where the sector is moving: away from isolated demonstrations and towards the systems engineering needed to keep increasingly large machines reliable.