Add standalone script to generate evaluation test data#57
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Builds a Stim memory circuit with the 25-parameter noise model, samples syndrome data, extracts the DEM check matrices (H, O, priors) via beliefmatching, and runs a baseline PyMatching decode. Outputs are saved in a custom binary format for downstream pre-decoder benchmarking. Signed-off-by: Scott Thornton <wsttiger@gmail.com>
Signed-off-by: Scott Thornton <wsttiger@gmail.com>
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* Add standalone script to generate evaluation test data Builds a Stim memory circuit with the 25-parameter noise model, samples syndrome data, extracts the DEM check matrices (H, O, priors) via beliefmatching, and runs a baseline PyMatching decode. Outputs are saved in a custom binary format for downstream pre-decoder benchmarking. Signed-off-by: Scott Thornton <wsttiger@gmail.com> * Formatting Signed-off-by: Scott Thornton <wsttiger@gmail.com> --------- Signed-off-by: Scott Thornton <wsttiger@gmail.com>
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Builds a Stim memory circuit with the 25-parameter noise model, samples syndrome data, extracts the DEM check matrices (H, O, priors) via beliefmatching, and runs a baseline PyMatching decode. Outputs are saved in a custom binary format for downstream pre-decoder benchmarking.