| \(s = He \bmod 2\) |
syndrome parity map |
src/surface/SurfaceSyndrome.cpp, src/qec/CSSSyndrome.cpp, src/utils/SyndromeUtils.cpp |
| \(n=2d(d-1)\), \(m_X=d^2\), \(m_Z=(d-1)^2\) |
surface geometry cardinalities |
examples/paper_runs/paper_04/scripts/generate_comparison_requests.py |
| MWPM objective \(\min \sum C_{uv}\) |
defect matching cost minimization |
src/surface/MWPMDecoder.cpp, src/surface/MatchingProblem.cpp, src/surface/BlossomMWPM.cpp |
| Union-Find cluster/peel steps |
near-linear decoding heuristic |
src/surface/UnionFindDecoder.cpp, src/decoders/UnionFindDecoder.cpp |
| BP message updates |
probabilistic inference over Tanner graph |
src/decoders/BeliefPropagation.cpp, src/graph/TannerGraph.cpp |
| \(\widehat{\mathrm{LER}}=k/N\) |
trial aggregation |
src/sim/MonteCarlo.cpp, src/sim/SurfaceThresholdRunner.cpp |
| Wilson/CI intervals |
uncertainty quantification |
src/surface/ScalingAnalysis.cpp, analysis scripts in examples/ |
| TV/JS request distances |
request-equivalence diagnostics |
examples/paper_runs/paper_04/scripts/analyze_request_equivalence.py |
| Source-reference deltas |
reproducible comparator metrics |
examples/paper_runs/paper_04/scripts/analyze_pennylane_vs_lidmas.py |
| Bootstrap CIs |
nonparametric uncertainty estimates |
examples/paper_runs/paper_04/scripts/analyze_bootstrap_ci.py |