Modular Neural Decoder for Surface Code Memory and Logic on Superconducting Processors
quant-ph
Submitted: 2026-10-02
Updated: 2026-10-02
Code: https://github.com/LangeMoritz/modular-gnn-rnn-decoder
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network
- Quantum error correction below the surface code threshold
- Topological quantum memory
- Surface codes: Towards practical large-scale quantum computation
- Stabilizer Codes and Quantum Error Correction
- Quantum Error Correction for Quantum Memories
- A Neural Decoder for Topological Codes
- Scalable Neural Decoder for Topological Surface Codes
- Scalable Neural Decoders for Practical Fault-Tolerant Quantum Computation
- Deep neural decoders for near term fault-tolerant experiments
- Neural network decoder for topological color codes with circuit level noise
- Deep Neural Network Probabilistic Decoder for Stabilizer Codes
- Transformer-QEC: Quantum Error Correction Code Decoding with Transferable Transformers
- Quantum error correction for the toric code using deep reinforcement learning
- Deep Q-learning decoder for depolarizing noise on the toric code
- Reinforcement Learning Decoders for Fault-Tolerant Quantum Computation
- Neural network decoder for near-term surface-code experiments
- Data-driven decoding of quantum error correcting codes using graph neural networks
- Learning to Decode in Parallel: Self-Coordinating Neural Network for Real-Time Quantum Error Correction
- A scalable and real-time neural decoder for topological quantum codes
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