diff --git a/netsalt/quantum_graph.py b/netsalt/quantum_graph.py
index e002b75..b20be0b 100644
--- a/netsalt/quantum_graph.py
+++ b/netsalt/quantum_graph.py
@@ -208,46 +208,45 @@ def oversample_graph(graph, edge_size):  # pylint: disable=too-many-locals
     oversampled_graph = graph.copy()
     for ei, (u, v) in enumerate(graph.edges):
         last_node = len(oversampled_graph)
-        if graph[u][v]["inner"]:
-            n_nodes = int(graph[u][v]["length"] / edge_size)
-            if n_nodes > 1:
-                dielectric_constant = graph[u][v]["dielectric_constant"]
-                pump = graph[u][v]["pump"]
-                oversampled_graph.remove_edge(u, v)
-
-                for node_index in range(n_nodes - 1):
-                    node_position_x = graph.nodes[u]["position"][0] + (node_index + 1) / n_nodes * (
-                        graph.nodes[v]["position"][0] - graph.nodes[u]["position"][0]
-                    )
-                    node_position_y = graph.nodes[u]["position"][1] + (node_index + 1) / n_nodes * (
-                        graph.nodes[v]["position"][1] - graph.nodes[u]["position"][1]
-                    )
-                    node_position = np.array([node_position_x, node_position_y])
-
-                    if node_index == 0:
-                        first, last = u, last_node
-                    else:
-                        first, last = last_node + node_index - 1, last_node + node_index
-
-                    oversampled_graph.add_node(last, position=node_position)
-                    oversampled_graph.add_edge(
-                        first,
-                        last,
-                        inner=True,
-                        dielectric_constant=dielectric_constant,
-                        pump=pump,
-                        edgelabel=ei,
-                    )
+        n_nodes = int(graph[u][v]["length"] / edge_size)
+        if n_nodes > 1:
+            dielectric_constant = graph[u][v]["dielectric_constant"]
+            pump = graph[u][v]["pump"]
+            oversampled_graph.remove_edge(u, v)
+
+            for node_index in range(n_nodes - 1):
+                node_position_x = graph.nodes[u]["position"][0] + (node_index + 1) / n_nodes * (
+                    graph.nodes[v]["position"][0] - graph.nodes[u]["position"][0]
+                )
+                node_position_y = graph.nodes[u]["position"][1] + (node_index + 1) / n_nodes * (
+                    graph.nodes[v]["position"][1] - graph.nodes[u]["position"][1]
+                )
+                node_position = np.array([node_position_x, node_position_y])
 
+                if node_index == 0:
+                    first, last = u, last_node
+                else:
+                    first, last = last_node + node_index - 1, last_node + node_index
+
+                oversampled_graph.add_node(last, position=node_position)
                 oversampled_graph.add_edge(
-                    last_node + node_index,
-                    v,
+                    first,
+                    last,
                     inner=True,
                     dielectric_constant=dielectric_constant,
                     pump=pump,
                     edgelabel=ei,
                 )
 
+            oversampled_graph.add_edge(
+                last_node + node_index,
+                v,
+                inner=True,
+                dielectric_constant=dielectric_constant,
+                pump=pump,
+                edgelabel=ei,
+            )
+
     oversampled_graph = nx.convert_node_labels_to_integers(oversampled_graph)
     _set_edge_lengths(oversampled_graph)
     params = {"inner": [oversampled_graph[u][v]["inner"] for u, v in oversampled_graph.edges]}