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Shield sweep upload
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metadata
library_name: pytorch
tags:
  - quantum-error-correction
  - circuit-family-classifier
license: other
license_name: nvidia-open-model-license-derivative

QFabric Shield — Family Classifier (per-distance)

Lightweight transformer classifiers that ingest surface-code syndrome history and emit a softmax over four QFabric circuit families: {mps, grover, tebd, emu}. Used at runtime by the Shield dispatcher to route syndromes to the correct family-specialized decoder.

One classifier per code distance (input dimension scales with D).

Architecture

  • 4-layer transformer encoder, d_model=128, 4 heads
  • ~1M parameters
  • Input: (B, 4, T, D, D) syndrome tensor
  • Output: (B, 4) family logits

Distance variants

Each d{{N}}/ subdir contains the classifier trained at that distance.