From 72ba4165be437e622b983a170ec05871c8c8b80a Mon Sep 17 00:00:00 2001
From: Matteo Robbiati <62071516+MatteoRobbiati@users.noreply.github.com>
Date: Mon, 10 Feb 2025 10:11:59 +0100
Subject: [PATCH 1/2] Apply suggestions from code review

Co-authored-by: BrunoLiegiBastonLiegi <45011234+BrunoLiegiBastonLiegi@users.noreply.github.com>
---
 src/qibotn/backends/__init__.py   |  2 +-
 src/qibotn/backends/qmatchatea.py |  2 +-
 src/qibotn/result.py              | 15 +++++++--------
 3 files changed, 9 insertions(+), 10 deletions(-)

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..90a164c 100644
--- a/src/qibotn/result.py
+++ b/src/qibotn/result.py
@@ -26,10 +26,10 @@ 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]:
+            for bitstring, prob in self.measured_probabilities[self.prob_type].items():
                 measured_probabilities[self.prob_type][bitstring] = (
-                    self.measured_probabilities[self.prob_type][bitstring][1]
-                    - self.measured_probabilities[self.prob_type][bitstring][0]
+                   prob[1]
+                    - prob[0]
                 )
             probabilities = measured_probabilities[self.prob_type]
         else:
@@ -50,8 +50,7 @@ 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 .",
+        )

From 938bf136f67beff9c38e014a35769158a727e2a2 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 10 Feb 2025 09:12:06 +0000
Subject: [PATCH 2/2] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 src/qibotn/result.py | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/src/qibotn/result.py b/src/qibotn/result.py
index 90a164c..dd4e326 100644
--- a/src/qibotn/result.py
+++ b/src/qibotn/result.py
@@ -27,10 +27,7 @@ class TensorNetworkResult:
         if self.prob_type == "U":
             measured_probabilities = deepcopy(self.measured_probabilities)
             for bitstring, prob in self.measured_probabilities[self.prob_type].items():
-                measured_probabilities[self.prob_type][bitstring] = (
-                   prob[1]
-                    - prob[0]
-                )
+                measured_probabilities[self.prob_type][bitstring] = prob[1] - prob[0]
             probabilities = measured_probabilities[self.prob_type]
         else:
             probabilities = self.measured_probabilities[self.prob_type]