diff --git a/docs/notebooks/scaling/scaling.ipynb b/docs/notebooks/scaling/scaling.ipynb
index 06a9b2e..67aaeac 100644
--- a/docs/notebooks/scaling/scaling.ipynb
+++ b/docs/notebooks/scaling/scaling.ipynb
@@ -234,6 +234,38 @@
     "For execution, we also need to bind the circuit parameters to specific values and insert the desired measurements."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "20273cfe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def compute_uncompute(\n",
+    "    circuit: QuantumCircuit, *, barrier: bool = True, inplace: bool = False\n",
+    ") -> QuantumCircuit:\n",
+    "    \"\"\"Build compute-uncompute version of input quantum circuit.\n",
+    "\n",
+    "    Args:\n",
+    "        circuit: the original quantum circuit to build compute-uncompute version of.\n",
+    "        barrier: whether to insert a barrier between the compute and uncompute\n",
+    "            halves of the output circuit.\n",
+    "        inplace: if True, modify the input circuit. Otherwise make a copy.\n",
+    "\n",
+    "    Returns:\n",
+    "        Compute-uncompute version of input quantum circuit with optional barrier.\n",
+    "    \"\"\"\n",
+    "    if not isinstance(circuit, QuantumCircuit):\n",
+    "        raise TypeError(f\"Invalid circuit type {type(circuit)}, expected <QuantumCircuit>.\")\n",
+    "    inverse = circuit.inverse()\n",
+    "    if not inplace:\n",
+    "        circuit = circuit.copy()\n",
+    "    if barrier:\n",
+    "        circuit.barrier()\n",
+    "    circuit.compose(inverse, inplace=True)\n",
+    "    return circuit"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 3,
@@ -253,7 +285,7 @@
     }
    ],
    "source": [
-    "from quantum_enablement.circuits import compute_uncompute, MBLChainCircuit\n",
+    "from quantum_enablement.circuits import MBLChainCircuit\n",
     "\n",
     "reference_circuit = compute_uncompute(MBLChainCircuit(num_qubits=4, depth=2), barrier=True)\n",
     "reference_circuit.assign_parameters([0.1, 0.2, 0.3, 0.4, 0.5], inplace=True)  # Note: dummy values\n",