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39 feature xtypemajorityvoting #40

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Merged
MiniSean merged 2 commits into from
Mar 26, 2026
Merged

39 feature xtypemajorityvoting #40

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8144167
Updated majority voting decoder to work correctly with X-type memory …
MiniSean Feb 14, 2026
935450d
Fixed correct use of target state dimension distance
MiniSean Mar 25, 2026
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8 changes: 6 additions & 2 deletions src/qce_interp/decoder_examples/majority_voting.py
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Original file line number Diff line number Diff line change
Expand Up @@ -3,6 +3,7 @@
# https://arxiv.org/pdf/1703.04136.pdf
# -------------------------------------------
import numpy as np
from qce_circuit.connectivity.intrf_connectivity_surface_code import StabilizerType
from qce_interp.interface_definitions.intrf_error_identifier import IErrorDetectionIdentifier
from qce_interp.interface_definitions.intrf_syndrome_decoder import IDecoder
from qce_interp.interface_definitions.intrf_state_classification import IStateClassifierContainer
Expand All @@ -22,8 +23,9 @@ class MajorityVotingDecoder(IDecoder):
"""

# region Class Constructor
def __init__(self, error_identifier: IErrorDetectionIdentifier):
def __init__(self, error_identifier: IErrorDetectionIdentifier, initial_state_basis: StabilizerType = StabilizerType.STABILIZER_Z):
self._error_identifier: IErrorDetectionIdentifier = error_identifier
self._initial_state_basis: StabilizerType = initial_state_basis
# endregion

# region ILookupDecoder Interface Methods
Expand All @@ -40,7 +42,9 @@ def get_fidelity(self, cycle_stabilizer_count: int, target_state: np.ndarray) ->
# (N, D)
corrected_binary_output: np.ndarray = binary_output.reshape((n, d))
# Correct for refocusing (bit-flips)
if cycle_stabilizer_count % 2 == 0 and cycle_stabilizer_count != 0:
if self._initial_state_basis == StabilizerType.STABILIZER_X:
corrected_binary_output = corrected_binary_output ^ 1
elif cycle_stabilizer_count % 2 == 0 and cycle_stabilizer_count != 0:
corrected_binary_output = IStateClassifierContainer.binary_to_eigenvalue(corrected_binary_output) * -1
corrected_binary_output = IStateClassifierContainer.eigenvalue_to_binary(corrected_binary_output)

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2 changes: 1 addition & 1 deletion src/qce_interp/visualization/plot_logical_fidelity.py
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Expand Up @@ -213,7 +213,7 @@ def plot_fidelity(decoder: IDecoder, included_rounds: List[int], target_state: I
)
contains_nan_values: bool = np.isnan(y_array).any()
if fit_error_rate and not contains_nan_values:
code_distance: int = len(target_state.as_ordered_array(qubit_order=target_state_order))
code_distance: int = target_state.distance
exclude_first_n: int = code_distance
if code_distance < 5:
exclude_first_n = 2 * code_distance
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