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Quantum error correction
Codes, decoders, noise models, datasets, and simulation tools.
Browse QECQuantum algorithms
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Browse RunsRecently updated research
Browse artifactsDecoder
MWPM surface-code decoder (PyMatching) — official baseline
Official KetQat baseline: minimum-weight perfect-matching (MWPM) decoding of rotated surface-code memory experiments, using Stim for circuit-level depolarizing-noise sampling and PyMatching for decoding. This is the reference decoder every KetQat leaderboard entry is compared against: 24 hash-verified baseline runs sweep code distances d=3/5/7 across physical error rates from 0.001 to 0.02, showing textbook below-threshold error suppression and above-threshold inversion. Reproduce any point with `ketqat run examples/qec/surface-code-memory.yaml` from the ketqat-sdk repository — every run page includes the exact manifest, environment, and reproducibility hash used. See the live comparison at ketqat.com/leaderboard.
Algorithm
Grover Search Local Simulator Demo
Demo record for a local Grover-search benchmark over small marked-state instances.
Decoder
MWPM Surface-Code Decoder Demo
Demo record for a minimum-weight perfect matching decoder used in local surface-code memory examples.
Latest verified runs
Browse runsVerified run
surface-code-mwpm-baseline-d7-p02
surface-code-memory-mwpm · v0.1.0
Verified run
surface-code-mwpm-baseline-d7-p015
surface-code-memory-mwpm · v0.1.0
Verified run
surface-code-mwpm-baseline-d7-p01
surface-code-memory-mwpm · v0.1.0
Reproducible definitions
Benchmark suites
Benchmark suite · v0.1.0
Grover Search Local Simulation
Small local benchmark definition for marked-state Grover search.
- Measures
- marked-state-search
- Schema
- v0.1
Benchmark suite · v0.1.0
Rotated Surface-Code Memory with MWPM
Small local benchmark definition for rotated surface-code memory experiments with MWPM decoding.
- Measures
- memory
- Schema
- v0.1
Decoder leaderboard
Compare results on one shared benchmark surface.
Previewing pymatching on Rotated Surface-Code Memory with MWPM. Every point links back to its published run and reproducibility record.
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