bloqade.gemini.decoding.table_decoders.TableDecoderWithConfidence

← Module overview

classTableDecoderWithConfidence¶source

bloqade.gemini.decoding.table_decoders.TableDecoderWithConfidence

Bases: TableDecoder, ConfidenceDecoder

Dense table decoder with empirical per-syndrome confidence.

Signature

class TableDecoderWithConfidence(dem: stim.DetectorErrorModel, *, num_shots: int = 10 ** 7, seed: int | None = None, step_size: int | None = None)

Public import paths

• from bloqade.gemini.decoding import TableDecoderWithConfidence

Parameters

Name	Type	Default	Description
dem	stim.DetectorErrorModel	required
num_shots	int	10 ** 7
seed	int | None	None
step_size	int | None	None

methoddecode¶source

bloqade.gemini.decoding.table_decoders.TableDecoderWithConfidence.decode

def decode(detector_bits: np.ndarray) -> np.ndarray

Decode detector bits after validating the detector-shot width.

Parameters

Name	Type	Description
detector_bits	np.ndarray

Returns

np.ndarray

source

methodcache_correction¶source

bloqade.gemini.decoding.table_decoders.TableDecoderWithConfidence.cache_correction

def cache_correction() -> None

source

methoddecode_with_confidence¶source

bloqade.gemini.decoding.table_decoders.TableDecoderWithConfidence.decode_with_confidence

Signature

def decode_with_confidence(detector_bits: np.ndarray) -> tuple[np.ndarray, np.float64]

Decode one detector syndrome and return its empirical confidence.

Parameters

Name	Type	Description
detector_bits	np.ndarray

Returns

tuple[np.ndarray, np.float64]

source