Merge branch 'main' into fix-target

Qiskit · Apr 15, 2024 · e1d308d · e1d308d
2 parents e8b9f6b + e460157
commit e1d308d
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Showing 3 changed files with 12 additions and 3 deletions.
diff --git a/qiskit_ibm_runtime/base_primitive.py b/qiskit_ibm_runtime/base_primitive.py
@@ -271,6 +271,14 @@ def __init__(
         self._service: QiskitRuntimeService | QiskitRuntimeLocalService = None
         self._backend: Optional[BackendV1 | BackendV2] = None
 
+        issue_deprecation_msg(
+            "The Sampler and Estimator V1 primitives have been deprecated",
+            "0.23.0",
+            "Please use the V2 Primitives. See the `V2 migration guide "
+            "<https://docs.quantum.ibm.com/api/migration-guides/v2-primitives>`_. for more details",
+            3,
+        )
+
         if options is None:
             self._options = asdict(Options())
         elif isinstance(options, Options):

diff --git a/qiskit_ibm_runtime/ibm_backend.py b/qiskit_ibm_runtime/ibm_backend.py
@@ -335,6 +335,7 @@ def target(self) -> Target:
 
     def target_history(self, datetime: Optional[python_datetime] = None) -> Target:
         """A :class:`qiskit.transpiler.Target` object for the backend.
+
         Returns:
             Target with properties found on `datetime`
         """

diff --git a/test/unit/qiskit/test_backend_estimator_v2.py b/test/unit/qiskit/test_backend_estimator_v2.py
@@ -49,6 +49,7 @@ def setUp(self):
         self._precision = 5e-3
         self._rtol = 3e-1
         self._seed = 12
+        self._rng = np.random.default_rng(self._seed)
         self._options = {"default_precision": self._precision, "seed_simulator": self._seed}
         self.ansatz = RealAmplitudes(num_qubits=2, reps=2)
         self.observable = SparsePauliOp.from_list(
@@ -330,7 +331,7 @@ def test_run_numpy_params(self, backend, abelian_grouping):
         op = SparsePauliOp.from_list([("IZ", 1), ("XI", 2), ("ZY", -1)])
         op = op.apply_layout(qc.layout)
         k = 5
-        params_array = np.random.rand(k, qc.num_parameters)
+        params_array = self._rng.random((k, qc.num_parameters))
         params_list = params_array.tolist()
         params_list_array = list(params_array)
         statevector_estimator = StatevectorEstimator(seed=123)
@@ -384,8 +385,7 @@ def test_aer(self, abelian_grouping):
         qc = pm.run(qc)
         op = [SparsePauliOp("IX"), SparsePauliOp("YI")]
         shape = (3, 2)
-        rng = np.random.default_rng(seed)
-        params_array = rng.random(shape + (qc.num_parameters,))
+        params_array = self._rng.random(shape + (qc.num_parameters,))
         params_list = params_array.tolist()
         params_list_array = list(params_array)
         statevector_estimator = StatevectorEstimator(seed=seed)