Added 2.1.2 to caught versions of Qiskit in AdaptVQE (#247)

Co-authored-by: Elena Peña Tapia <[email protected]>

Author: tnemoz

qiskit_algorithms/minimum_eigensolvers/adapt_vqe.py

@@ -238,9 +238,9 @@ def _compute_gradients(
         # The excitations operators are applied later as exp(i*theta*excitation).
         # For this commutator, we need to explicitly pull in the imaginary phase.
         commutators = [1j * (operator @ exc - exc @ operator) for exc in self._excitation_pool]
-        # We have to call simplify on it since Qiskit doesn't do so in versions 2.1.0 and 2.1.1, see
+        # We have to call simplify on it since Qiskit doesn't do so in versions 2.1.X, see
         # Qiskit/qiskit/issues/14567
-        if get_qiskit_version_info() in ["2.1.0", "2.1.1"]:
+        if get_qiskit_version_info() in ["2.1.0", "2.1.1", "2.1.2"]:
             commutators = [obs.simplify() for obs in commutators]
 
         # If the ansatz has been transpiled

releasenotes/notes/fix-adaptvqe-qiskit-2.1.2-8ca695d06e88e972.yaml

@@ -0,0 +1,4 @@
+---
+fixes:
+  - |
+    :class:`.AdaptVQE` now works correctly when using qiskit in version 2.1.2.