diff --git a/hdk/hnumpy/tracing.py b/hdk/hnumpy/tracing.py
index 9fd8b86d1..a5ff23013 100644
--- a/hdk/hnumpy/tracing.py
+++ b/hdk/hnumpy/tracing.py
@@ -212,6 +212,30 @@ class NPTracer(BaseTracer):
         """
         return self._unary_operator(numpy.arctan, "np.arctan", *input_tracers, **kwargs)
 
+    def exp(self, *input_tracers: "NPTracer", **kwargs) -> "NPTracer":
+        """Function to trace numpy.exp.
+
+        Returns:
+            NPTracer: The output NPTracer containing the traced function
+        """
+        return self._unary_operator(numpy.exp, "np.exp", *input_tracers, **kwargs)
+
+    def expm1(self, *input_tracers: "NPTracer", **kwargs) -> "NPTracer":
+        """Function to trace numpy.expm1.
+
+        Returns:
+            NPTracer: The output NPTracer containing the traced function
+        """
+        return self._unary_operator(numpy.expm1, "np.expm1", *input_tracers, **kwargs)
+
+    def exp2(self, *input_tracers: "NPTracer", **kwargs) -> "NPTracer":
+        """Function to trace numpy.exp2.
+
+        Returns:
+            NPTracer: The output NPTracer containing the traced function
+        """
+        return self._unary_operator(numpy.exp2, "np.exp2", *input_tracers, **kwargs)
+
     def dot(self, other_tracer: "NPTracer", **_kwargs) -> "NPTracer":
         """Function to trace numpy.dot.
 
@@ -245,6 +269,9 @@ class NPTracer(BaseTracer):
         numpy.arcsin: arcsin,
         numpy.arccos: arccos,
         numpy.arctan: arctan,
+        numpy.exp: exp,
+        numpy.expm1: expm1,
+        numpy.exp2: exp2,
     }
 
     FUNC_ROUTING: Dict[Callable, Callable] = {
diff --git a/tests/hnumpy/test_tracing.py b/tests/hnumpy/test_tracing.py
index cb8b96985..7bc4a4538 100644
--- a/tests/hnumpy/test_tracing.py
+++ b/tests/hnumpy/test_tracing.py
@@ -243,6 +243,9 @@ def test_tracing_astype(
         pytest.param(lambda x: numpy.arcsin(x)),
         pytest.param(lambda x: numpy.arccos(x)),
         pytest.param(lambda x: numpy.arctan(x)),
+        pytest.param(lambda x: numpy.exp(x)),
+        pytest.param(lambda x: numpy.expm1(x)),
+        pytest.param(lambda x: numpy.exp2(x)),
         # The next test case is only for coverage purposes, to trigger the unsupported method
         # exception handling
         pytest.param(
@@ -358,6 +361,9 @@ def test_trace_hnumpy_dot(function_to_trace, inputs, expected_output_node, expec
         pytest.param(numpy.arcsin, tracing.NPTracer.arcsin),
         pytest.param(numpy.arccos, tracing.NPTracer.arccos),
         pytest.param(numpy.arctan, tracing.NPTracer.arctan),
+        pytest.param(numpy.exp, tracing.NPTracer.exp),
+        pytest.param(numpy.expm1, tracing.NPTracer.expm1),
+        pytest.param(numpy.exp2, tracing.NPTracer.exp2),
         pytest.param(numpy.dot, tracing.NPTracer.dot),
         # There is a need to test the case where the function fails, I chose numpy.conjugate which
         # works on complex types, as we don't talk about complex types for now this looks like a