AI RESEARCH
A scalable and real-time neural decoder for topological quantum codes
arXiv CS.LG
•
ArXi:2512.07737v2 Announce Type: replace-cross Fault-tolerant quantum computing will require error rates far below those achievable with physical qubits. Quantum error correction (QEC) bridges this gap, but depends on decoders being simultaneously fast, accurate, and scalable. This combination of requirements remains unmet by a machine-learning decoder, nor by any decoder for promising resource-efficient codes such as the color code. Here we