Qubit-centric Transformer for Surface Code Decoding

The Qubit-centric Transformer proposes a new quantum error correction decoder by focusing on physical qubits instead of stabilizers. It uses a transformer with qubit-centric attention and structure-aware masking to directly analyze error patterns. This method achieves state-of-the-art performance, reaching an 18.1% threshold under depolarizing noise, outperforming existing neural decoders.

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