diff --git a/src/qibotn/backends/gpu.py b/src/qibotn/backends/gpu.py
index 5f41344..6301bf7 100644
--- a/src/qibotn/backends/gpu.py
+++ b/src/qibotn/backends/gpu.py
@@ -53,7 +53,7 @@ class CuTensorNet(NumpyBackend):  # pragma: no cover
             raise TypeError("Type can be either complex64 or complex128")
 
     def execute_circuit(
-        self, circuit, test, MPI_enabled=False, MPS_enabled=False, NCCL_enabled=False, expectation_enabled=False, initial_state=None, nshots=None, return_array=False
+        self, circuit, MPI_enabled=False, MPS_enabled=False, NCCL_enabled=False, expectation_enabled=False, initial_state=None, nshots=None, return_array=False
     ):  # pragma: no cover
         """Executes a quantum circuit.
 
@@ -68,7 +68,11 @@ class CuTensorNet(NumpyBackend):  # pragma: no cover
         """
 
         import qibotn.eval as eval
-        print("Test", test)
+        print("MPI_enabled", MPI_enabled)
+        print("MPS_enabled", MPS_enabled)
+        print("NCCL_enabled", NCCL_enabled)
+        print("expectation_enabled", expectation_enabled)
+        
         if (
             MPI_enabled == False
             and MPS_enabled == False
@@ -150,7 +154,7 @@ class CuTensorNet(NumpyBackend):  # pragma: no cover
                 raise_error(NotImplementedError,
                             "QiboTN cannot support initial state.")
 
-            state, rank = eval.expectation_tn_MPI(
+            state, rank = eval.expectation_pauli_tn_MPI(
                 circuit, self.dtype, 32)
 
             if rank > 0:
@@ -166,7 +170,7 @@ class CuTensorNet(NumpyBackend):  # pragma: no cover
                 raise_error(NotImplementedError,
                             "QiboTN cannot support initial state.")
 
-            state, rank = eval.expectation_tn_nccl(
+            state, rank = eval.expectation_pauli_tn_nccl(
                 circuit, self.dtype, 32)
 
             if rank > 0:
diff --git a/src/qibotn/eval.py b/src/qibotn/eval.py
index ddf2bfc..16ae046 100644
--- a/src/qibotn/eval.py
+++ b/src/qibotn/eval.py
@@ -15,7 +15,7 @@ def dense_vector_tn(qibo_circ, datatype):
     return contract(*myconvertor.state_vector_operands())
 
 
-def expectation_tn(qibo_circ, datatype):
+def expectation_pauli_tn(qibo_circ, datatype):
     myconvertor = QiboCircuitToEinsum(qibo_circ, dtype=datatype)
     return contract(
         *myconvertor.expectation_operands(PauliStringGen(qibo_circ.nqubits))
@@ -204,7 +204,7 @@ def dense_vector_tn_nccl(qibo_circ, datatype, n_samples=8):
     return result, rank
 
 
-def expectation_tn_nccl(qibo_circ, datatype, n_samples=8):
+def expectation_pauli_tn_nccl(qibo_circ, datatype, n_samples=8):
     from mpi4py import MPI  # this line initializes MPI
     import socket
     from cuquantum import Network
@@ -291,7 +291,7 @@ def expectation_tn_nccl(qibo_circ, datatype, n_samples=8):
     return result, rank
 
 
-def expectation_tn_MPI(qibo_circ, datatype, n_samples=8):
+def expectation_pauli_tn_MPI(qibo_circ, datatype, n_samples=8):
     from mpi4py import MPI  # this line initializes MPI
     import socket
     from cuquantum import Network