Initial ruff pass

Fixed remaining ruff errors

Author: tnemoz

docs/tutorials/01_algorithms_introduction.ipynb

@@ -322,7 +322,7 @@
    "source": [
     "def callback(**kwargs):\n",
     "    if kwargs[\"count\"] == 0:\n",
-    "        print(f\"Callback function has been called!\")"
+    "        print(\"Callback function has been called!\")"
    ]
   },
   {

docs/tutorials/05_qaoa.ipynb

@@ -208,7 +208,6 @@
    ],
    "source": [
     "from qiskit.primitives import StatevectorSampler\n",
-    "from qiskit.quantum_info import Pauli\n",
     "from qiskit.result import QuasiDistribution\n",
     "\n",
     "from qiskit_algorithms import QAOA\n",
@@ -375,7 +374,7 @@
    "source": [
     "def callback(**kwargs):\n",
     "    if kwargs[\"count\"] == 0:\n",
-    "        print(f\"Callback function has been called!\")"
+    "        print(\"Callback function has been called!\")"
    ]
   },
   {

docs/tutorials/06_grover.ipynb

@@ -747,7 +747,7 @@
    "source": [
     "def callback(**kwargs):\n",
     "    if kwargs[\"count\"] == 0:\n",
-    "        print(f\"Callback function has been called!\")"
+    "        print(\"Callback function has been called!\")"
    ]
   },
   {

docs/tutorials/10_pvqd.ipynb

@@ -692,7 +692,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -701,7 +701,6 @@
     "\n",
     "def exact(final_time, timestep, hamiltonian, initial_state):\n",
     "    \"\"\"Get the exact values for energy and the observable.\"\"\"\n",
-    "    O = observable.to_matrix()\n",
     "    H = hamiltonian.to_matrix()\n",
     "\n",
     "    energ, magn = [], []  # list of energies and magnetizations evaluated at timesteps timestep\n",

qiskit_algorithms/amplitude_amplifiers/amplification_problem.py

@@ -14,7 +14,7 @@
 from __future__ import annotations
 
 from collections.abc import Callable
-from typing import Any, List, cast
+from typing import Any, cast
 
 from qiskit.circuit import QuantumCircuit, Gate
 from qiskit.circuit.library import GroverOperator
@@ -177,10 +177,10 @@ def is_good_state(self) -> Callable[[str], bool]:
             return self._is_good_state  # returns None if no is_good_state arg has been set
         elif isinstance(self._is_good_state, list):
             if all(isinstance(good_bitstr, str) for good_bitstr in self._is_good_state):
-                return lambda bitstr: bitstr in cast(List[str], self._is_good_state)
+                return lambda bitstr: bitstr in cast(list[str], self._is_good_state)
             else:
                 return lambda bitstr: all(
-                    bitstr[good_index] == "1" for good_index in cast(List[int], self._is_good_state)
+                    bitstr[good_index] == "1" for good_index in cast(list[int], self._is_good_state)
                 )
 
         return lambda bitstr: bitstr in cast(Statevector, self._is_good_state).probabilities_dict()

qiskit_algorithms/amplitude_amplifiers/amplitude_amplifier.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2021, 2023.
+# (C) Copyright IBM 2021, 2025.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -24,7 +24,7 @@ class AmplitudeAmplifier(ABC):
     """The interface for amplification algorithms."""
 
     @abstractmethod
-    def amplify(self, amplification_problem: AmplificationProblem) -> "AmplitudeAmplifierResult":
+    def amplify(self, amplification_problem: AmplificationProblem) -> AmplitudeAmplifierResult:
         """Run the amplification algorithm.
 
         Args:

qiskit_algorithms/amplitude_amplifiers/grover.py

@@ -192,7 +192,7 @@ def sampler(self, sampler: BaseSamplerV2) -> None:
         """
         self._sampler = sampler
 
-    def amplify(self, amplification_problem: AmplificationProblem) -> "GroverResult":
+    def amplify(self, amplification_problem: AmplificationProblem) -> GroverResult:
         """Run the Grover algorithm.
 
         Args:

qiskit_algorithms/amplitude_estimators/ae.py

@@ -228,7 +228,7 @@ def _evaluate_count_results(self, counts) -> tuple[dict[float, float], dict[int,
 
     @staticmethod
     def compute_mle(
-        result: "AmplitudeEstimationResult", apply_post_processing: bool = False
+        result: AmplitudeEstimationResult, apply_post_processing: bool = False
     ) -> float:
         """Compute the Maximum Likelihood Estimator (MLE).
 
@@ -285,7 +285,7 @@ def loglikelihood(a):
 
         return a_opt
 
-    def estimate(self, estimation_problem: EstimationProblem) -> "AmplitudeEstimationResult":
+    def estimate(self, estimation_problem: EstimationProblem) -> AmplitudeEstimationResult:
         """Run the amplitude estimation algorithm on provided estimation problem.
 
         Args:
@@ -379,7 +379,7 @@ def estimate(self, estimation_problem: EstimationProblem) -> "AmplitudeEstimatio
 
     @staticmethod
     def compute_confidence_interval(
-        result: "AmplitudeEstimationResult",
+        result: AmplitudeEstimationResult,
         alpha: float = 0.05,
         kind: str = "likelihood_ratio",
     ) -> tuple[float, float]:

qiskit_algorithms/amplitude_estimators/amplitude_estimator.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2018, 2023.
+# (C) Copyright IBM 2018, 2025.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -24,7 +24,7 @@ class AmplitudeEstimator(ABC):
     """The Amplitude Estimation interface."""
 
     @abstractmethod
-    def estimate(self, estimation_problem: EstimationProblem) -> "AmplitudeEstimatorResult":
+    def estimate(self, estimation_problem: EstimationProblem) -> AmplitudeEstimatorResult:
         """Run the amplitude estimation algorithm.
 
         Args:

qiskit_algorithms/amplitude_estimators/estimation_problem.py

@@ -1,6 +1,6 @@
 # This code is part of a Qiskit project.
 #
-# (C) Copyright IBM 2020, 2024.
+# (C) Copyright IBM 2020, 2025.
 #
 # This code is licensed under the Apache License, Version 2.0. You may
 # obtain a copy of this license in the LICENSE.txt file in the root directory
@@ -202,7 +202,7 @@ def grover_operator(self, grover_operator: QuantumCircuit | None) -> None:
         """
         self._grover_operator = grover_operator
 
-    def rescale(self, scaling_factor: float) -> "EstimationProblem":
+    def rescale(self, scaling_factor: float) -> EstimationProblem:
         """Rescale the good state amplitude in the estimation problem.
 
         Args: