CAHR inverts experimental syndrome statistics into discrete physical hypergraphs for surface and color codes without false positives.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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quant-ph 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Estimating DEM probabilities from experimental syndromes improves logical error rates by 5-10% in surface-code memory experiments on Google Willow and IBM ibm_miami without additional circuits or supervised fitting.
citing papers explorer
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Reconstruction of detector error model for quantum error correction
CAHR inverts experimental syndrome statistics into discrete physical hypergraphs for surface and color codes without false positives.
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Logical error estimation from syndrome data of surface-code experiments
Estimating DEM probabilities from experimental syndromes improves logical error rates by 5-10% in surface-code memory experiments on Google Willow and IBM ibm_miami without additional circuits or supervised fitting.