Update tests to use qiskit_algorithms

qiskit_neko/tests/machine_learning/test_neural_network_classifier.py

@@ -13,9 +13,9 @@
 """Tests for quantum neural networks classifier."""
 import numpy as np
 from ddt import ddt, data
-from qiskit.algorithms.optimizers import COBYLA
+from qiskit_algorithms.optimizers import COBYLA
+from qiskit_algorithms.utils import algorithm_globals
 from qiskit.primitives import Sampler as ReferenceSampler
-from qiskit.utils import algorithm_globals
 from qiskit_aer.primitives import Sampler as AerSampler
 from qiskit_machine_learning.algorithms.classifiers import VQC
 
@@ -49,7 +49,7 @@ def test_neural_network_classifier(self, implementation):
             num_qubits=2,
             optimizer=COBYLA(maxiter=100),
             sampler=sampler,
-            initial_point=np.zeros((2, 4)),
+            initial_point=None,
         )
 
         vqc.fit(x, y01)

qiskit_neko/tests/nature/test_ground_state_solver.py

@@ -12,8 +12,8 @@
 
 """Test ground state solvers."""
 
-from qiskit.algorithms.minimum_eigensolvers import NumPyMinimumEigensolver, VQE
-from qiskit.algorithms.optimizers import SLSQP
+from qiskit_algorithms import NumPyMinimumEigensolver, VQE
+from qiskit_algorithms.optimizers import SLSQP
 from qiskit.primitives import Estimator
 from qiskit_nature.second_q.algorithms import GroundStateEigensolver
 from qiskit_nature.second_q.circuit.library import HartreeFock, UCCSD
@@ -49,6 +49,7 @@ def test_ground_state_solver(self):
         vqe_solver.initial_point = [0.0] * ansatz.num_parameters
         calc = GroundStateEigensolver(qubit_mapper, vqe_solver)
         result = calc.solve(es_problem)
+
         # Calculate expected result from numpy solver
         numpy_solver = NumPyMinimumEigensolver()
         np_calc = GroundStateEigensolver(qubit_mapper, numpy_solver)

qiskit_neko/tests/primitives/test_vqe.py

@@ -12,8 +12,8 @@
 
 """Test primitives with vqe."""
 
-from qiskit.algorithms.minimum_eigensolvers import VQE, SamplingVQE
-from qiskit.algorithms.optimizers import SPSA
+from qiskit_algorithms import VQE, SamplingVQE
+from qiskit_algorithms.optimizers import SPSA
 from qiskit.circuit.library import TwoLocal
 from qiskit.opflow import PauliSumOp
 from qiskit.primitives import BackendEstimator, BackendSampler

requirements.txt

@@ -1,4 +1,5 @@
 qiskit-terra
+qiskit-algorithms
 qiskit-aer
 qiskit-nature[pyscf]
 qiskit-experiments