deltakit.decode.analysis.B8DecoderManager

class deltakit.decode.analysis.B8DecoderManager(syndrome_b8_input: Path | bytes, logical_flip_b8_input: Path | bytes, decoder: GraphDecoder, reporters: list[BaseReporter] | None = None, metadata: dict[str, Any] | None = None)

Bases: DecoderManager

Decoder manager to run experiments defined by a b8 input for syndromes and target logical flips.

The b8 data formats were proposed by Google Quantum AI and can be read about here: https://github.com/quantumlib/Stim/blob/main/doc/result_formats.md#b8

Parameters:

• syndrome_b8_file (Path | bytes) – Path to the file containing input syndromes in b8 format or a bytes object that stores b8 data

• logical_flip_b8_file (Path | bytes) – Path to the file containing input logical flips in b8 format or a bytes object that stores b8 data

• decoder (GraphDecoder) – Decoder to use for decoding.

• reporters (Optional[List[BaseReporter]], optional) – Reporters are not supported by this decoder manager, by default None.

• metadata (Optional[Dict[str, Any]], optional) – Metadata to associate with this experiment, by default None.

Methods

B8DecoderManager.clear_pool_manager	Configure pool workers to state of this decoder manager.
B8DecoderManager.configure_pool	Configure pool workers to state of this decoder manager.
B8DecoderManager.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.
B8DecoderManager.reset	Reset all reporters and their aggregations.
B8DecoderManager.run_batch_shots	Run multiple shots of decoding.
B8DecoderManager.run_batch_shots_parallel	Run batch of shots in parallel using processes number of runners from pool.
B8DecoderManager.run_single_shot	Run a single shot of decoding.