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add dtype parameter to PauliSumOp.from_list (#8896)
* add dtype parameter to PauliSumOp.to_list * add release note Co-authored-by: mergify[bot] <37929162+mergify[bot]@users.noreply.github.com>
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@ -431,19 +431,22 @@ class PauliSumOp(PrimitiveOp):
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@classmethod
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def from_list(
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cls,
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pauli_list: List[Tuple[str, complex]],
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pauli_list: List[Tuple[str, Union[complex, ParameterExpression]]],
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coeff: Union[complex, ParameterExpression] = 1.0,
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dtype: type = complex,
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) -> "PauliSumOp":
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"""Construct from a pauli_list with the form [(pauli_str, coeffs)]
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Args:
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pauli_list: A list of Tuple of pauli_str and coefficient.
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coeff: A coefficient multiplying the primitive.
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dtype: The dtype to use to construct the internal SparsePauliOp.
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Defaults to ``complex``.
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Returns:
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The PauliSumOp constructed from the pauli_list.
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"""
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return cls(SparsePauliOp.from_list(pauli_list), coeff=coeff)
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return cls(SparsePauliOp.from_list(pauli_list, dtype=dtype), coeff=coeff)
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def is_zero(self) -> bool:
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"""
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@ -0,0 +1,6 @@
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---
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features:
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- |
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Added ``dtype`` argument to :meth:`~.PauliSumOp.from_list`
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for passing type information to the internal
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:class:`~.SparsePauliOp`.
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@ -305,6 +305,13 @@ class TestPauliSumOp(QiskitOpflowTestCase):
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)
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self.assertEqual(target, expected)
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a = Parameter("a")
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target = PauliSumOp.from_list([("X", 0.5 * a), ("Y", -0.5j * a)], dtype=object)
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expected = PauliSumOp(
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SparsePauliOp.from_list([("X", 0.5 * a), ("Y", -0.5j * a)], dtype=object)
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)
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self.assertEqual(target.primitive, expected.primitive)
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def test_matrix_iter(self):
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"""Test PauliSumOp dense matrix_iter method."""
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labels = ["III", "IXI", "IYY", "YIZ", "XYZ", "III"]
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