Saq: Stabilizer-Aware Quantum Error Correction Decoder Achieves 18.9% Accuracy With Linear Scalability Via Transformer-based Learning

Saq: Stabilizer-Aware Quantum Error Correction Decoder Achieves 18.9% Accuracy With Linear Scalability Via Transformer-based Learning

Scientists have developed a new decoding method for quantum error correction that simultaneously achieves accuracy approaching the theoretical limit and scales efficiently with increasing system size, representing a significant step towards building practical, fault-tolerant quantum computers.