Latency-Constrained Hardware-Aware Quantum Error Correction Co-Design with Adaptive Confidence-Gated Neural Decoding for the Rotated Surface Code
An adaptive confidence-gated decoding framework for the rotated surface code that treats decoding as a two-stage inference problem that improves logical accuracy and confidence-controlled accuracy-latency trade-offs, decoding throughput, per-shot latency, and decoding-graph resource scaling is presented.