diff --git a/src/qibotn/backends/cutensornet.py b/src/qibotn/backends/cutensornet.py
index 4f1c409..a813a7e 100644
--- a/src/qibotn/backends/cutensornet.py
+++ b/src/qibotn/backends/cutensornet.py
@@ -16,7 +16,7 @@ class CuTensorNet(QibotnBackend, NumpyBackend):  # pragma: no cover
         super().__init__()
         import cuquantum
         from cuquantum import cutensornet as cutn  # pylint: disable=import-error
-        
+
         if runcard is not None:
             self.MPI_enabled = runcard.get("MPI_enabled", False)
             self.NCCL_enabled = runcard.get("NCCL_enabled", False)
diff --git a/src/qibotn/eval.py b/src/qibotn/eval.py
index 2d7c441..9d34275 100644
--- a/src/qibotn/eval.py
+++ b/src/qibotn/eval.py
@@ -62,9 +62,9 @@ def dense_vector_tn_MPI(qibo_circ, datatype, n_samples=8):
         Dense vector of quantum circuit.
     """
 
+    import cuquantum.cutensornet as cutn
     from cuquantum import Network
     from mpi4py import MPI
-    import cuquantum.cutensornet as cutn
 
     root = 0
     comm = MPI.COMM_WORLD
@@ -150,10 +150,10 @@ def dense_vector_tn_nccl(qibo_circ, datatype, n_samples=8):
     Returns:
         Dense vector of quantum circuit.
     """
+    import cuquantum.cutensornet as cutn
     from cupy.cuda import nccl
     from cuquantum import Network
     from mpi4py import MPI
-    import cuquantum.cutensornet as cutn
 
     root = 0
     comm_mpi = MPI.COMM_WORLD
@@ -259,10 +259,10 @@ def expectation_pauli_tn_nccl(qibo_circ, datatype, pauli_string_pattern, n_sampl
     Returns:
         Expectation of quantum circuit due to pauli string.
     """
+    import cuquantum.cutensornet as cutn
     from cupy.cuda import nccl
     from cuquantum import Network
     from mpi4py import MPI
-    import cuquantum.cutensornet as cutn
 
     root = 0
     comm_mpi = MPI.COMM_WORLD
@@ -368,9 +368,9 @@ def expectation_pauli_tn_MPI(qibo_circ, datatype, pauli_string_pattern, n_sample
     Returns:
         Expectation of quantum circuit due to pauli string.
     """
+    import cuquantum.cutensornet as cutn
     from cuquantum import Network
     from mpi4py import MPI  # this line initializes MPI
-    import cuquantum.cutensornet as cutn
 
     root = 0
     comm = MPI.COMM_WORLD