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qfabric-shield-classifier
QuantaBull/qfabric-shield-classifier
qfabric-shield-classifier is a machine learning model from QuantaBull. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for pytorch. The card lists the license as other.
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 syndrome…
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At a glance
- Library
- pytorch
- License
- other
- Access
- Public
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026
- SHA
- 18dc61e5
Model card
From the Hugging Face model README
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.
- Library
- pytorch
- License
- other
- Created
- Apr 28, 2026
- Updated
- Apr 28, 2026