⬆️🔒️ Lock file maintenance (#617)

This PR contains the following updates:

| Update | Change |
|---|---|
| lockFileMaintenance | All locks refreshed |

🔧 This Pull Request updates lock files to use the latest dependency
versions.

---

### Configuration

📅 **Schedule**: Branch creation - "before 4am on monday" (UTC),
Automerge - At any time (no schedule defined).

🚦 **Automerge**: Enabled.

♻ **Rebasing**: Whenever PR is behind base branch, or you tick the
rebase/retry checkbox.

👻 **Immortal**: This PR will be recreated if closed unmerged. Get
[config
help](https://redirect.github.com/renovatebot/renovate/discussions) if
that's undesired.

---

- [ ] <!-- rebase-check -->If you want to rebase/retry this PR, check
this box

---

This PR was generated by [Mend Renovate](https://mend.io/renovate/).
View the [repository job
log](https://developer.mend.io/github/munich-quantum-toolkit/predictor).

<!--renovate-debug:eyJjcmVhdGVkSW5WZXIiOiI0My42Ni40IiwidXBkYXRlZEluVmVyIjoiNDMuNjYuNCIsInRhcmdldEJyYW5jaCI6Im1haW4iLCJsYWJlbHMiOlsiZGVwZW5kZW5jaWVzIiwicHl0aG9uIl19-->

---------

Signed-off-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: renovate[bot] <29139614+renovate[bot]@users.noreply.github.com>
Co-authored-by: Daniel Haag <121057143+denialhaag@users.noreply.github.com>

Author: renovate[bot]

src/mqt/predictor/ml/helper.py

@@ -119,7 +119,7 @@ def create_feature_vector(qc: QuantumCircuit) -> list[int | float]:
         The feature dictionary of the given quantum circuit.
     """
     ops_list = qc.count_ops()
-    ops_list_dict = dict_to_featurevector(ops_list)  # ty: ignore[invalid-argument-type]
+    ops_list_dict = dict_to_featurevector(ops_list)
 
     feature_dict = {}
     for key in ops_list_dict:

src/mqt/predictor/ml/predictor.py

@@ -177,7 +177,7 @@ def _compile_all_circuits_devicewise(
         for filename in path_uncompiled_circuits.iterdir():
             if filename.suffix != ".qasm":
                 continue
-            qc = QuantumCircuit.from_qasm_file(filename)  # ty: ignore[invalid-argument-type]
+            qc = QuantumCircuit.from_qasm_file(filename)
             if qc.num_qubits > dev_max_qubits:
                 continue
 
@@ -354,7 +354,7 @@ def _generate_training_sample(
         scores_list = list(scores.values())
         target_label = max(scores, key=lambda k: scores[k])
 
-        qc = QuantumCircuit.from_qasm_file(path_uncompiled_circuit / file)  # ty: ignore[invalid-argument-type]
+        qc = QuantumCircuit.from_qasm_file(path_uncompiled_circuit / file)
         feature_vec = create_feature_vector(qc)
         training_sample = (feature_vec, target_label)
         circuit_name = str(file).split(".")[0]
@@ -465,7 +465,7 @@ def predict_device_for_figure_of_merit(
         ValueError: If no suitable device is found for the given quantum circuit.
     """
     if isinstance(qc, Path) and qc.exists():
-        qc = QuantumCircuit.from_qasm_file(qc)  # ty: ignore[invalid-argument-type]
+        qc = QuantumCircuit.from_qasm_file(qc)
     assert isinstance(qc, QuantumCircuit)
 
     path = get_path_trained_model(figure_of_merit)

src/mqt/predictor/rl/helper.py

@@ -62,7 +62,7 @@ def get_state_sample(max_qubits: int, path_training_circuits: Path, rng: Generat
         found_suitable_qc = True
 
     try:
-        qc = QuantumCircuit.from_qasm_file(file_list[random_index])  # ty: ignore[invalid-argument-type]
+        qc = QuantumCircuit.from_qasm_file(file_list[random_index])
     except Exception as e:
         msg = f"Could not read QuantumCircuit from: {file_list[random_index]}"
         raise RuntimeError(msg) from e

src/mqt/predictor/rl/predictorenv.py

@@ -203,7 +203,7 @@ def step(self, action: int) -> tuple[dict[str, Any], float, bool, bool, dict[Any
             done = False
 
         # in case the Qiskit.QuantumCircuit has unitary or u gates in it, decompose them (because otherwise qiskit will throw an error when applying the BasisTranslator
-        if self.state.count_ops().get("unitary"):  # ty: ignore[invalid-argument-type]
+        if self.state.count_ops().get("unitary"):
             self.state = self.state.decompose(gates_to_decompose="unitary")
 
         self.state._layout = self.layout  # noqa: SLF001
@@ -247,7 +247,7 @@ def reset(
         if isinstance(qc, QuantumCircuit):
             self.state = qc
         elif qc:
-            self.state = QuantumCircuit.from_qasm_file(qc)  # ty: ignore[invalid-argument-type]
+            self.state = QuantumCircuit.from_qasm_file(qc)
         else:
             self.state, self.filename = get_state_sample(self.device.num_qubits, self.path_training_circuits, self.rng)