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About this paper
Nadav Schneider, Eliya Nachmani
BB-Net estimates quantum-code distance from compact algebraic descriptions, combining polynomial and Tanner spectral representations with attention and a learned gate. On 5,870 held-out codes, it achieved 96.39% accuracy within two of heuristic reference distances, versus 94.86% for QDistEvol, with lower inference time. The references are upper bounds unless certified; on certified codes, QDistEvol scored 100%, versus BB-Net’s 98.94%.
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