diff --git a/xtheta-lab/notebooks/02_benchmark_scenarios.ipynb b/xtheta-lab/notebooks/02_benchmark_scenarios.ipynb
index 07f4c0b..d3cb6f7 100644
--- a/xtheta-lab/notebooks/02_benchmark_scenarios.ipynb
+++ b/xtheta-lab/notebooks/02_benchmark_scenarios.ipynb
@@ -7,26 +7,26 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
-    "import pandas as pd\n",
     "from xtheta.experiments.benchmarks import run_benchmark_scenarios\n",
-    "from xtheta.quantum.engine import compute_chsh_max, evolve_state, compute_correlation_tensor\n",
+    "import pandas as pd\n",
     "\n",
     "print(\"--- X-Theta V2 Benchmark Scenarios ---\")\n",
     "\n",
     "results = run_benchmark_scenarios()\n",
-    "\n",
-    "for r in results:\n",
-    "    phi = r['phi_rel']\n",
-    "    psi = evolve_state(phi)\n",
-    "    T = compute_correlation_tensor(psi)\n",
-    "    s_max = compute_chsh_max(T)\n",
-    "    \n",
-    "    r['S_max'] = s_max\n",
-    "    r['delta_S'] = abs(s_max - 2*np.sqrt(2))\n",
-    "\n",
     "df = pd.DataFrame(results)\n",
-    "print(df[['name', 'phi_rel', 'S_max', 'delta_S']])\n"
+    "\n",
+    "display(df[[\n",
+    "    'scenario',\n",
+    "    'phi_rel',\n",
+    "    'phi_rel_scientific',\n",
+    "    'S_max',\n",
+    "    'delta_S_from_tsirelson',\n",
+    "    'delta_S_scientific',\n",
+    "    'R_theta',\n",
+    "    'R_theta_scientific',\n",
+    "    'concurrence',\n",
+    "    'purity'\n",
+    "]])"
    ]
   }
  ],