diff --git a/src/qibotn/backends/__init__.py b/src/qibotn/backends/__init__.py
index 624ed62..b1b13a4 100644
--- a/src/qibotn/backends/__init__.py
+++ b/src/qibotn/backends/__init__.py
@@ -35,7 +35,7 @@ class MetaBackend:
         else:
             raise_error(
                 NotImplementedError,
-                f"Unsupported platform {platform}, please pick one in (`cutensornet`, `qutensornet`, `qmatchatea`)",
+                f"Unsupported platform {platform}, please pick one in {PLATFORMS}",
             )
 
     def list_available(self) -> dict:
diff --git a/src/qibotn/backends/qmatchatea.py b/src/qibotn/backends/qmatchatea.py
index 9353a34..ddeb0b8 100644
--- a/src/qibotn/backends/qmatchatea.py
+++ b/src/qibotn/backends/qmatchatea.py
@@ -19,7 +19,7 @@ class QMatchaTeaBackend(QibotnBackend):
     def __init__(self):
         super().__init__()
 
-        self.name = "qiboml"
+        self.name = "qibotn"
         self.platform = "qmatchatea"
 
         # Set default configurations
diff --git a/src/qibotn/result.py b/src/qibotn/result.py
index b6d0b52..dd4e326 100644
--- a/src/qibotn/result.py
+++ b/src/qibotn/result.py
@@ -26,11 +26,8 @@ class TensorNetworkResult:
         """Return calculated probabilities according to the given method."""
         if self.prob_type == "U":
             measured_probabilities = deepcopy(self.measured_probabilities)
-            for bitstring in self.measured_probabilities[self.prob_type]:
-                measured_probabilities[self.prob_type][bitstring] = (
-                    self.measured_probabilities[self.prob_type][bitstring][1]
-                    - self.measured_probabilities[self.prob_type][bitstring][0]
-                )
+            for bitstring, prob in self.measured_probabilities[self.prob_type].items():
+                measured_probabilities[self.prob_type][bitstring] = prob[1] - prob[0]
             probabilities = measured_probabilities[self.prob_type]
         else:
             probabilities = self.measured_probabilities[self.prob_type]
@@ -50,8 +47,7 @@ class TensorNetworkResult:
         """Return the statevector if the number of qubits is less than 30."""
         if self.nqubits < 20:
             return self.statevector
-        else:
-            raise_error(
-                NotImplementedError,
-                f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
-            )
+        raise_error(
+            NotImplementedError,
+            f"Tensor network simulation cannot be used to reconstruct statevector for >= 30 .",
+        )