Alice & Bob Joins €4.6M MSCA-Backed QuBriC Doctoral Network for Quantum Error Correction Alice & Bob Joins €4.6M MSCA-Backed QuBriC Doctoral Network for Quantum Error Correction Cat-qubit hardware developer Alice & Bob has joined QuBriC (Bridging Quantum and Classical Error Correction for Scalable Fault-tolerant Quantum Computing), Europe’s first Marie Skłodowska-Curie Actions (MSCA) Doctoral Network dedicated entirely to Quantum Error Correction (QEC). Funded via a €4.6 million ($5.0 million) grant over 48 months under Horizon Europe, the consortium unites 16 academic institutions and seven quantum enterprises to train 15 PhD candidates across the complete QEC stack—combining classical coding theory, quantum information science, and hardware control engineering. [ QuBriC MSCA Doctoral Network Ecosystem ] │ ┌──────────────────────────────────┴──────────────────────────────────┐ ▼ ▼ Academic Research Partners (16 Institutions) Industry & Commercial Partners (7 Companies) • ETH Zürich, TU Delft, UCL, INRIA, Sorbonne. • Alice & Bob (Cat-Qubit Fault-Tolerance). • LMU Munich, KIT, Chalmers, Politecnico di Milano. • Riverlane, IQM, Quantinuum, Pasqal. • TU Eindhoven, University of Edinburgh, Gdańsk. • QuiX Quantum, Quandela. The initiative addresses a critical talent gap in fault-tolerant quantum computing (FTQC), where expertise remains bifurcated between theoretical physics and classical error-correcting codes (such as LDPC and surface codes). Alice & Bob will contribute its specialized architecture—using autonomous error-suppressing cat qubits designed to eliminate physical bit flips at the hardware level—to train researchers on co-designing physical QPUs with logical QEC layers. The consortium connects leading hardware and software scaleups, including Riverlane, IQM, Quantinuum, Pasqal, QuiX Quantum, and Quandela, alongside academic centers such as ETH Zürich, TU Delft, UCL, INRIA, and Sorbonne University. By embedding doctoral candidates across both university laboratories and industrial hardware foundries, QuBriC aims to accelerate t
