Error Sparsification#254
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…flag Update Python README for `strip_undecomposable_errors` option on demutil.decompose_errors
…-main-decoders
…l/ and disable workspace in .bazelrc
Enables per-shot sparse error activation. - `--sparsify-base-degree K` Maximum detector degree for mandatory errors. Errors with `degree <= K` are always enabled for every shot. - `--sparsify-max-degree M` Maximum detector degree for optional errors that may be reactivated. Errors with `degree > M` are never enabled. If omitted, there is no max-degree limit. - `--sparsify-reactivate-limit N` Maximum number of optional errors to reactivate per shot. Optional means `degree > K` and `degree <= M`. If `--sparsify-errors` is not present, then passing any other `--sparsify-*` flag should raise a helpful argument error.
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Adds optional per-shot error sparsification to
tesseract.When enabled with
--sparsify-errors, the decoder always keeps errors up to--sparsify-base-degree, then reactivates up to--sparsify-reactivate-limithigher-degree errors up to--sparsify-max-degreebased on fired-detector overlap. This means we only enable high-degree errors that have a reasonable chance of actually being used.I have tried it on p=0.001, 0.002 for the color, surface, and bicycle codes.
Recommended parameters (WIP):
By the way, as a note for future optimization, I think this could be improved a lot because e.g. the
eneighborscan be reduced significantly. This optimization is not done here.It would be interesting if we can discover the best k from inspecting just the DEM. Also would be good to not have to tune the max-num-errors thing