diff --git a/examples/pulser_compiler.py b/examples/pulser_compiler.py
index eccf708..2ca0be4 100644
--- a/examples/pulser_compiler.py
+++ b/examples/pulser_compiler.py
@@ -2,6 +2,7 @@
 
 import numpy as np
 from qadence2_expressions import RX, RY, add_qpu_directives, compile_to_model, parameter
+from qadence2_platforms.abstracts import OnEnum
 from qadence2_platforms.compiler import compile_to_backend
 
 a = parameter("a")
@@ -14,5 +15,6 @@
 
 f_params = {"a": np.array([1.0])}
 compiled_model = compile_to_backend(model, "fresnel1")
-res = compiled_model.sample(values=f_params, shots=10_000, on="emulator")
+res = compiled_model.sample(values=f_params, shots=10_000, on=OnEnum.EMULATOR)
+
 print(f"sample result: {res}")
diff --git a/examples/pyq_compiler.py b/examples/pyq_compiler.py
index 8f438f8..a5d9c46 100644
--- a/examples/pyq_compiler.py
+++ b/examples/pyq_compiler.py
@@ -20,4 +20,4 @@
 
 wf = compiled_model.run(state=pyq.zero_state(2), values=f_params)
 dfdx = torch.autograd.grad(wf, f_params["a"], torch.ones_like(wf))[0]
-print(f"{dfdx = }\n")
+print(f"{dfdx=}\n")