diff --git a/tests/lowering/eltwise/unary/test_bitwise_not.py b/tests/lowering/eltwise/unary/test_bitwise_not.py
new file mode 100644
index 000000000..ddb60bfb0
--- /dev/null
+++ b/tests/lowering/eltwise/unary/test_bitwise_not.py
@@ -0,0 +1,34 @@
+import torch
+import torch_ttnn
+import pytest
+import ttnn
+
+
+class BitwiseNotModule(torch.nn.Module):
+    def __init__(self):
+        super().__init__()
+
+    def forward(self, input):
+        return torch.bitwise_not(input)
+
+
+@pytest.mark.parametrize(
+    "input_shape",
+    [(4, 4)],
+)
+def test_bitwise_not(device, input_shape):
+    m = BitwiseNotModule()
+    input = torch.randint(-256, 256, input_shape, dtype=torch.int32)
+    result_before = m.forward(input)
+    option = torch_ttnn.TorchTtnnOption(device=device)
+    option.gen_graphviz = True
+    # The compilation is lazy, so we need to run forward once to trigger the compilation
+    m = torch.compile(m, backend=torch_ttnn.backend, options=option)
+    result_after = m.forward(input)
+    option._out_fx_graphs[0].print_tabular()
+
+    # Check the graph has been rewritten and contains ttnn ops
+    nodes = list(option._out_fx_graphs[0].nodes)
+    assert [node.target for node in nodes].count(ttnn.bitwise_not) == 1
+    # Check inference result
+    assert torch.equal(result_before, result_after)
diff --git a/torch_ttnn/passes/lowering/add_data_move_pass.py b/torch_ttnn/passes/lowering/add_data_move_pass.py
index 0050ff3a3..8b38fa63b 100644
--- a/torch_ttnn/passes/lowering/add_data_move_pass.py
+++ b/torch_ttnn/passes/lowering/add_data_move_pass.py
@@ -35,7 +35,7 @@ def is_function_call(node) -> bool:
     ttnn.atan,
     ttnn.atan2,  # binary
     ttnn.atanh,
-    #  ttnn.clone,  in target_wrappers
+    ttnn.bitwise_not,
     ttnn.cos,
     ttnn.cosh,
     ttnn.elu,
diff --git a/torch_ttnn/passes/lowering/to_tt_pass.py b/torch_ttnn/passes/lowering/to_tt_pass.py
index 906f0cc9b..78654afbe 100644
--- a/torch_ttnn/passes/lowering/to_tt_pass.py
+++ b/torch_ttnn/passes/lowering/to_tt_pass.py
@@ -190,6 +190,9 @@ def __init__(self, target, args, kwargs):
         if target == torch.ops.aten.atanh.default:
             return self.call_function_prop_meta(ttnn.atanh, args, kwargs)
 
+        if target == torch.ops.aten.bitwise_not.default:
+            return self.call_function_prop_meta(ttnn.bitwise_not, args, kwargs)
+
         if target == torch.ops.aten.clamp.default:
             # aten.clamp args are positional but ttnn.clip uses kw args
             new_kwargs = map_args_to_kwargs(args, ((1, "min"), (2, "max")), default_none=True)