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.
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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
MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.
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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.
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Better Pauli Channel Learning with Maximum Likelihood Estimation
MLE for 1D-local sparse Pauli-Lindblad channels reduces to an efficient Bayesian network computation, yielding improved tomography.