diff --git a/tests/test_derivative.py b/tests/test_derivative.py
index a1c6e97e0e..80b477c263 100644
--- a/tests/test_derivative.py
+++ b/tests/test_derivative.py
@@ -57,45 +57,34 @@ def test_standard_parameter_shift(backend, nshots, atol, scale_factor, grads):
             circuit=c, hamiltonian=c, parameter_index=0, nshots=nshots
         )
 
-    if isinstance(backend, PyTorchBackend):
-        with pytest.raises(NotImplementedError) as excinfo:
-            grad = parameter_shift(
-                circuit=c, hamiltonian=test_hamiltonian, parameter_index=0
-            )
-            assert (
-                str(excinfo.value)
-                == "PyTorchBackend for the parameter shift rule is not supported."
-            )
-
-    else:
-        # executing all the procedure
-        grad_0 = parameter_shift(
-            circuit=c,
-            hamiltonian=test_hamiltonian,
-            parameter_index=0,
-            scale_factor=scale_factor,
-            nshots=nshots,
-        )
-        grad_1 = parameter_shift(
-            circuit=c,
-            hamiltonian=test_hamiltonian,
-            parameter_index=1,
-            scale_factor=scale_factor,
-            nshots=nshots,
-        )
-        grad_2 = parameter_shift(
-            circuit=c,
-            hamiltonian=test_hamiltonian,
-            parameter_index=2,
-            scale_factor=scale_factor,
-            nshots=nshots,
-        )
+    # executing all the procedure
+    grad_0 = parameter_shift(
+        circuit=c,
+        hamiltonian=test_hamiltonian,
+        parameter_index=0,
+        scale_factor=scale_factor,
+        nshots=nshots,
+    )
+    grad_1 = parameter_shift(
+        circuit=c,
+        hamiltonian=test_hamiltonian,
+        parameter_index=1,
+        scale_factor=scale_factor,
+        nshots=nshots,
+    )
+    grad_2 = parameter_shift(
+        circuit=c,
+        hamiltonian=test_hamiltonian,
+        parameter_index=2,
+        scale_factor=scale_factor,
+        nshots=nshots,
+    )
 
-        # check of known values
-        # calculated using tf.GradientTape
-        backend.assert_allclose(grad_0, grads[0], atol=atol)
-        backend.assert_allclose(grad_1, grads[1], atol=atol)
-        backend.assert_allclose(grad_2, grads[2], atol=atol)
+    # check of known values
+    # calculated using tf.GradientTape
+    backend.assert_allclose(grad_0, grads[0], atol=atol)
+    backend.assert_allclose(grad_1, grads[1], atol=atol)
+    backend.assert_allclose(grad_2, grads[2], atol=atol)
 
 
 @pytest.mark.parametrize("step_size", [10**-i for i in range(5, 10, 1)])