deltakit.decode.analysis.GraphDecoderManager

class deltakit.decode.analysis.GraphDecoderManager(noise_model: SequentialNoise[CodeT, ErrorT] | MonteCarloNoise[CodeT, ErrorT], decoder: GraphDecoder[HyperMultiGraph], decoding_graph: HyperMultiGraph | None = None, logicals: Sequence[AbstractSet[DecodingHyperEdge | int]] | None = None, reporters: List[BaseReporter] | None = None, metadata: Dict[str, str] | None = None, seed: int | None = None, batch_size: int = 10000)

Bases: NoiseModelDecoderManager[AbstractSet[EdgeT], HyperMultiGraph, Tuple[bool, …], List[AbstractSet[EdgeT]], List[Tuple[bool, …]]]

Decoder manager for a graph decoder with an edge-based noise model. In this representation, an edge corresponds to a possible error event and the nodes of the edge correspond to the syndromes triggered by the error.

Methods

GraphDecoderManager.clear_pool_manager	Configure pool workers to state of this decoder manager.
GraphDecoderManager.configure_pool	Configure pool workers to state of this decoder manager.
GraphDecoderManager.generate_single_error	Generate an error for a single shot of decoding.
GraphDecoderManager.get_reporter_results	Get aggregated data from the manager's internal state and all available reporters as a dict from string of data identifier to data.
GraphDecoderManager.reset	Reset all reporters and their aggregations.
GraphDecoderManager.run_batch_shots	Run multiple shots of decoding.
GraphDecoderManager.run_batch_shots_parallel	Run batch of shots in parallel using processes number of runners from pool.
GraphDecoderManager.run_single_shot	Run a single shot of decoding.