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version bump to v0.2.8 #419

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Merged
perlinm merged 3 commits into from
Feb 18, 2026
Merged

version bump to v0.2.8 #419

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14e25e2
version bump to v0.2.8
perlinm Feb 18, 2026
7595cdd
type fix
perlinm Feb 18, 2026
3ae1bc0
type fixes
perlinm Feb 18, 2026
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2 changes: 1 addition & 1 deletion pyproject.toml
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Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
[project]
name = "qLDPC"
version = "0.2.7"
version = "0.2.8"
description = "Tools for constructing and analyzing quantum low density parity check (qLDPC) codes."
readme = "README.md"
license = "Apache-2.0"
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9 changes: 6 additions & 3 deletions src/qldpc/abstract.py
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Expand Up @@ -1042,9 +1042,12 @@ def _split_by_pivots(self, *, allow_non_units: bool = True) -> tuple[RingArray,
for col in np.argwhere(pivot_cols):
row = np.argwhere(self_as_bool[:, col])[0][0]
pivot_rows[row] = allow_non_units or self[row, col][0].inverse()
pivot_matrix = self[pivot_rows].view(RingArray)
non_pivot_matrix = self[~pivot_rows].view(RingArray)
return pivot_matrix, non_pivot_matrix[np.any(non_pivot_matrix, axis=1)]
pivot_matrix = self[pivot_rows]
non_pivot_matrix = self[~pivot_rows]
return (
pivot_matrix.view(RingArray),
non_pivot_matrix[np.any(non_pivot_matrix, axis=1)].view(RingArray),
)

def _remove_linearly_dependent_rows(self) -> RingArray:
"""Remove rows that can be expressed as ring-linear combinations of others.
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6 changes: 3 additions & 3 deletions src/qldpc/codes/common.py
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Original file line number Diff line number Diff line change
Expand Up @@ -770,7 +770,7 @@ def get_logical_error_rate(error_rate: float) -> tuple[float, float]:
" max_error_rate."
)
probs = _get_error_probs_by_weight(len(self), error_rate, max_error_weight)
return 1 - probs @ fidelities, np.sqrt(probs**2 @ variances)
return 1 - float(probs @ fidelities), float(np.sqrt(probs**2 @ variances))

return get_logical_error_rate

Expand Down Expand Up @@ -1946,7 +1946,7 @@ def get_logical_error_rate(error_rate: float) -> tuple[float, float]:
" max_error_rate."
)
probs = _get_error_probs_by_weight(len(self), error_rate, max_error_weight)
return 1 - probs @ fidelities, np.sqrt(probs**2 @ variances)
return 1 - float(probs @ fidelities), float(np.sqrt(probs**2 @ variances))

return get_logical_error_rate

Expand Down Expand Up @@ -3033,7 +3033,7 @@ def get_logical_error_rate(error_rate: float) -> tuple[float, float]:
" max_error_rate."
)
probs = _get_error_probs_by_weight(len(self), error_rate, max_error_weight)
return 1 - probs @ fidelities, np.sqrt(probs**2 @ variances)
return 1 - float(probs @ fidelities), float(np.sqrt(probs**2 @ variances))

return get_logical_error_rate

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