2 papers
quant-ph2025
Probing and Enhancing the Robustness of GNN-based QEC Decoders with Reinforcement Learning
Ryota Ikeda
Graph Neural Networks (GNNs) have emerged as a powerful, data-driven approach for Quantum Error Correction (QEC) decoding, capable of learning complex noise characteristics directl…
quant-ph2025
Do GNN-based QEC Decoders Require Classical Knowledge? Evaluating the Efficacy of Knowledge Distillation from MWPM
Ryota Ikeda
The performance of decoders in Quantum Error Correction (QEC) is key to realizing practical quantum computers. In recent years, Graph Neural Networks (GNNs) have emerged as a promi…