Update vizualization of notebook results better intro cell

Author: RomiLevy-Classiq

applications/telecom/network_traffic_optimization/network_traffic_optimization.ipynb

@@ -19,12 +19,6 @@
     "1. Capacity per edge (unit capacity): $\\sum_d Z(d,e) \\leq 1$\n",
     "2. Flow conservation for each demand and node\n",
     "\n",
-    "#### Why Quantum Computing?\n",
-    "\n",
-    "- **Classical Challenge:** MILP for complex networks are computationally expensive\n",
-    "- **Quantum Approach:** QAOA a huristic method that can potenially overcome classical methods\n",
-    "- **NISQ-Friendly:** Works on near-term quantum hardware without requiring deep circuits\n",
-    "\n",
     "The following notebook demonstrates a solution to the network traffic optimization problem, applying the QAOA algorithm."
    ]
   },