done

qiskit_ibm_runtime/utils/json.py

@@ -71,6 +71,7 @@
     PrimitiveResult,
 )
 from qiskit_ibm_runtime.options.zne_options import ExtrapolatorType
+from qiskit_ibm_runtime.utils.noise_learner_result import LayerError, PauliLindbladError
 
 _TERRA_VERSION = tuple(
     int(x) for x in re.match(r"\d+\.\d+\.\d", _terra_version_string).group(0).split(".")[:3]
@@ -350,14 +351,15 @@ def object_hook(self, obj: Any) -> Any:
                 # to deserialize load qpy circuit and return first instruction object in that circuit.
                 circuit = _decode_and_deserialize(obj_val, load)[0]
                 return circuit.data[0][0]
-            if obj_type == "settings" and obj["__module__"].startswith(
-                "qiskit.quantum_info.operators"
-            ):
-                return _deserialize_from_settings(
-                    mod_name=obj["__module__"],
-                    class_name=obj["__class__"],
-                    settings=_cast_strings_keys_to_int(obj_val),
-                )
+            if obj_type == "settings":
+                deserialize = obj["__module__"].startswith("qiskit.quantum_info.operators")
+                deserialize = deserialize or obj["__class__"] in [PauliLindbladError, LayerError]
+                if deserialize is True:
+                    return _deserialize_from_settings(
+                        mod_name=obj["__module__"],
+                        class_name=obj["__class__"],
+                        settings=_cast_strings_keys_to_int(obj_val),
+                    )
             if obj_type == "Result":
                 return Result.from_dict(obj_val)
             if obj_type == "spmatrix":
@@ -384,6 +386,10 @@ def object_hook(self, obj: Any) -> Any:
                 if shape is not None and isinstance(shape, list):
                     shape = tuple(shape)
                 return DataBin(shape=shape, **obj_val["fields"])
+            if obj_type == "LayerError":
+                return LayerError(**obj_val)
+            if obj_type == "PauliLindbladError":
+                return PauliLindbladError(**obj_val)
             if obj_type == "SamplerPubResult":
                 return SamplerPubResult(**obj_val)
             if obj_type == "PubResult":

qiskit_ibm_runtime/utils/noise_learner_result.py

@@ -10,7 +10,17 @@
 # copyright notice, and modified files need to carry a notice indicating
 # that they have been altered from the originals.
 
-"""NoiseLearner result class"""
+"""
+==================================================================================
+NoiseLearner result classes (:mod:`qiskit_ibm_runtime.utils.noise_learner_result`)
+==================================================================================
+
+.. autosummary::
+   :toctree: ../stubs/
+
+   PauliLindbladError
+   LayerError
+"""
 
 from __future__ import annotations
 
@@ -90,6 +100,11 @@ def num_qubits(self) -> int:
         The number of qubits in this :class:`~.PauliLindbladError`.
         """
         return self.generators.num_qubits
+
+    @property
+    def settings(self):
+        """Return settings."""
+        return {"generators": self.generators, "rates": self.rates}
 
     def __repr__(self) -> str:
         return f"PauliLindbladError(generators={self.generators}, rates={self.rates.tolist()})"
@@ -170,6 +185,11 @@ def num_qubits(self) -> int:
         The number of qubits in this :class:`~.LayerError`.
         """
         return len(self.qubits)
+
+    @property
+    def settings(self):
+        """Return settings."""
+        return {"circuit": self.circuit, "qubits": self.qubits, "error": self.error}
 
     def __repr__(self) -> str:
         ret = f"circuit={repr(self.circuit)}, qubits={self.qubits}, error={self.error})"