Transformer neural networks estimate coherent information thresholds for the surface code under code capacity, phenomenological, and circuit-level noise, outperforming minimum weight perfect matching decoding and enabling optimal soft post-selection.
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Machine Learning Optimal Quantum Error Correction Thresholds
Transformer neural networks estimate coherent information thresholds for the surface code under code capacity, phenomenological, and circuit-level noise, outperforming minimum weight perfect matching decoding and enabling optimal soft post-selection.