Decoding the Surface Code with Graph Neural Networks

Decoding plays a fundamental role in quantum error correction. In this talk, I present a decoding strategy based on Graph Neural Networks that exploits the graph structure of the detector error model generated for the Surface Code to perform error correction. I discuss its performance compared to traditional decoders and highlight current limitations and open challenges.