diff --git a/backends/qualcomm/_passes/convert_bmm_to_matmul.py b/backends/qualcomm/_passes/convert_bmm_to_matmul.py
index 480a985a90a..84e1ff26aa1 100644
--- a/backends/qualcomm/_passes/convert_bmm_to_matmul.py
+++ b/backends/qualcomm/_passes/convert_bmm_to_matmul.py
@@ -46,7 +46,8 @@ def _get_ordered_inputs(
     def call(self, graph_module: torch.fx.GraphModule):
         graph = graph_module.graph
         partitions = get_source_partitions(
-            graph, [operator.matmul, torch.matmul, torch.bmm]
+            graph,
+            [operator.matmul, torch.matmul, torch.bmm, torch.ops.aten.matmul.default],
         )
         for _, src_partitions in partitions.items():
             for src_partition in src_partitions:
diff --git a/backends/qualcomm/_passes/convert_to_linear.py b/backends/qualcomm/_passes/convert_to_linear.py
index 87b9f8a74b8..484b1399d38 100644
--- a/backends/qualcomm/_passes/convert_to_linear.py
+++ b/backends/qualcomm/_passes/convert_to_linear.py
@@ -190,7 +190,9 @@ def _extract_bmm_ops(self, partitioned_nodes: List[edge_op]) -> List[torch.fx.No
         return ret
 
     def _convert(self, graph_module: torch.fx.GraphModule):
-        partitions = get_source_partitions(graph_module.graph, [torch.nn.Linear])
+        partitions = get_source_partitions(
+            graph_module.graph, [torch.nn.Linear, torch.ops.aten.linear.default]
+        )
         for _, src_partitions in partitions.items():
             for src_partition in src_partitions:
                 op_cnt = Counter(