Provides guidance for choosing among QEC decoder backends such as ldpc, PyMatching, fusion-blossom, Chromobius, MWPF, tesseract-decoder, and MQT QECC based on artifact shape, code family, noise model, and validation goals.
Guides exact-MWPM graphlike decoding with fusion-blossom, including erasure-aware matching updates, while keeping clear boundaries with PyMatching and non-graphlike decoder lanes.
Provides guidance for decoding graphlike Stim detector models and sampled trajectories with PyMatching, using the repo's registry-backed decoder service and explicit graphlike-DEM constraints.
Guides search-based decoder planning with tesseract-decoder for small or medium QEC studies, keeping its baseline value separate from scalable matching or hypergraph lanes.
Guides use of MQT QECC for toolkit-native code, decoder, color-code, and state-preparation workflows while keeping clear boundaries with Stim-native and qLDPC-native lanes.
Guides reproduction of folded-H surface-code cultivation workflows from the MSC_foldedH repo, including sample-circuit inspection, handoff runs, and boundaries around the currently supported stabilizer-based escape path.
Guides staged reproduction of magic-state-cultivation workflows from Strilanc's reference repo, including circuit generation, long-run statistics collection, and plot regeneration without collapsing those stages together.
Guides color-code and related surgery-protocol simulation using local surgery implementations, with explicit matrix, circuit, detector-model, and decoder validation stages.