Adds a unittest for SparsePauliOp support in AdaptVQE

Qiskit · Apr 12, 2023 · 1a2a38f · 1a2a38f
1 parent 0d62eb2
commit 1a2a38f
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Showing 2 changed files with 16 additions and 1 deletion.
diff --git a/qiskit/algorithms/minimum_eigensolvers/adapt_vqe.py b/qiskit/algorithms/minimum_eigensolvers/adapt_vqe.py
@@ -182,7 +182,7 @@ def supports_aux_operators(cls) -> bool:
     def _compute_gradients(
         self,
         theta: list[float],
-        operator: OperatorBase,
+        operator: BaseOperator | OperatorBase,
     ) -> list[tuple[complex, dict[str, Any]]]:
         """
         Computes the gradients for all available excitation operators.

diff --git a/test/python/algorithms/minimum_eigensolvers/test_adapt_vqe.py b/test/python/algorithms/minimum_eigensolvers/test_adapt_vqe.py
@@ -96,6 +96,21 @@ def test_default(self):
         self.assertAlmostEqual(res.eigenvalue, expected_eigenvalue, places=6)
         np.testing.assert_allclose(res.eigenvalue_history, [expected_eigenvalue], rtol=1e-6)
 
+    def test_with_quantum_info(self):
+        """Test behavior with quantum_info-based operators."""
+        ansatz = EvolvedOperatorAnsatz(
+            [op.primitive for op in self.excitation_pool],
+            initial_state=self.initial_state,
+        )
+
+        calc = AdaptVQE(VQE(Estimator(), ansatz, self.optimizer))
+        res = calc.compute_minimum_eigenvalue(operator=self.h2_op.primitive)
+
+        expected_eigenvalue = -1.85727503
+
+        self.assertAlmostEqual(res.eigenvalue, expected_eigenvalue, places=6)
+        np.testing.assert_allclose(res.eigenvalue_history, [expected_eigenvalue], rtol=1e-6)
+
     def test_converged(self):
         """Test to check termination criteria"""
         calc = AdaptVQE(