Decoding the Quantum Frontier: AI-Driven Error Correction

This talk, hosted by the Washington Quantum Computing Meetup, explores AI-driven neural architectures for real-time Quantum Error Correction (QEC). Speakers Nader Bagherzadeh and Samira Sayedsalehi present a paradigm shift using Vision Transformer and sequence-based Transformer models to treat surface code lattice geometry as a dynamic image problem. They discuss engineering challenges like model distillation and FPGA integration to achieve sub-microsecond latency for fault-tolerant quantum comp