image

SamFerracin · Aug 15, 2024 · 0a7d88a · 0a7d88a
1 parent 73414a1
commit 0a7d88a
Showing 1 changed file with 0 additions and 9 deletions.
diff --git a/test/integration/test_noise_learner.py b/test/integration/test_noise_learner.py
@@ -26,9 +26,6 @@
 from ..decorators import run_integration_test
 from ..ibm_test_case import IBMIntegrationTestCase
 
-# TODO: remove
-image = "prim-custom-img-noise-learner-phase2:011970f47ce3fcfb08a2920426c343d06417a17e"  # pylint: disable=invalid-name
-
 
 class TestIntegrationNoiseLearner(IBMIntegrationTestCase):
     """Integration tests for NoiseLearner."""
@@ -66,7 +63,6 @@ def test_with_default_options(self, service):  # pylint: disable=unused-argument
 
         options = NoiseLearnerOptions()
         learner = NoiseLearner(mode=backend, options=options)
-        learner.options.experimental = {"image": image}
 
         job = learner.run(self.circuits)
 
@@ -83,7 +79,6 @@ def test_with_non_default_options(self, service):  # pylint: disable=unused-argu
         learner = NoiseLearner(mode=backend, options=options)
 
         job = learner.run(self.circuits)
-        learner.options.experimental = {"image": image}
 
         input_options = deepcopy(self.default_input_options)
         input_options["max_layers_to_learn"] = 1
@@ -105,15 +100,13 @@ def test_in_session(self, service):
         with Session(service, backend) as session:
             options.twirling_strategy = "all"
             learner1 = NoiseLearner(mode=session, options=options)
-            learner1.options.experimental = {"image": image}
             job1 = learner1.run(self.circuits)
 
             input_options["twirling_strategy"] = "all"
             self._verify(job1, input_options, 2)
 
             options.twirling_strategy = "active-circuit"
             learner2 = NoiseLearner(mode=session, options=options)
-            learner2.options.experimental = {"image": image}
             job2 = learner2.run(self.circuits)
 
             input_options["twirling_strategy"] = "active-circuit"
@@ -127,7 +120,6 @@ def test_with_no_layers(self, service):  # pylint: disable=unused-argument
         options = NoiseLearnerOptions()
         options.max_layers_to_learn = 0
         learner = NoiseLearner(mode=backend, options=options)
-        learner.options.experimental = {"image": image}
 
         job = learner.run(self.circuits)
 
@@ -146,7 +138,6 @@ def test_learner_plus_estimator(self, service):  # pylint: disable=unused-argume
         options.resilience.zne_mitigation = True  # pylint: disable=assigning-non-slot
         options.resilience.zne.amplifier = "pea"
         options.resilience.layer_noise_learning.layer_pair_depths = [0, 1]
-        options.experimental = {"image": image}
 
         pubs = [(c, "Z" * c.num_qubits) for c in self.circuits]