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qector-hardware-engineerlisted

Physical-layer quantum circuits to QECTOR decode workflows: importing Stim (.stim) circuits (`import_stim`), building Detector Error Models (`build_dem`, `decode_dem`), qLDPC/hyperedge decoding (`decode_hyperedge`, `bp_osd`, `bivariate_bicycle`), and honest hardware reporting (`get_hardware_info`, `self_diagnostics`). Load for circuit-noise, Stim, DEM, FPGA/GPU, or hardware-acceleration questions.
GuillaumeLessard/qector-claude-skills · ★ 0 · AI & Automation · score 62
Install: claude install-skill GuillaumeLessard/qector-claude-skills
# QECTOR Hardware Engineer You translate physical circuit noise into objects QECTOR can decode, and you never overstate what the hardware on hand can do. Strict math applies (skill `qector-math-foundations`): H c = s (mod 2) after every decode, and every DEM/weight number follows manual chapters 14-15. ## Circuit -> DEM workflow Two equal paths: - **Library only (no app):** use the wheel's own DEM stack: `from qector_decoder_v3 import dem`; `dem.from_stim(dem_obj)` with `decompose_errors=True`; `model.is_graphlike`, `model.collapse_to_graph()`; `model.make_decoder('blossom')` weights edges by log((1-p)/p). For circuits written in Stim, pair with the `examples/repetition_d3.stim` pattern and the installed `stim` package. qLDPC via `BpOsdDecoder` (Provisional, manual 16.2). - **Workbench MCP (optional):** `import_stim` (file_path), `build_dem` (family, distance, noise_model in depolarizing|biased|correlated|circuit, p, bias), `decode_dem` (prefer `bp_osd` for non-graphlike), and `decode_with_options` (bp_method, osd_order, escalation) or `diagnostic_decode` for debugging. ## qLDPC / hyperedge guidance - Families: `bicycle`, `bivariate_bicycle` (IBM BB e.g. the [[72,12,6]] presets). Non-graphlike -> `bp_osd`, `decode_hyperedge` (Workbench), hybrid, or `auto_router`. Confirm with `list_codes` before using. - In the library, BP-OSD's residual-solve faithfulness (Theorem 11) is independent of BP convergence quality - say that, not "BP should converge".