Added Pennylane Logo

qml4jets.ipynb

@@ -773,7 +773,9 @@
    "metadata": {},
    "source": [
     "## QML Model\n",
-    "![Circuit](img/circuit.png)\n",
+    "<img width=50% src=\"https://raw.githubusercontent.com/PennyLaneAI/pennylane/master/doc/_static/pennylane_thin.png\"/>\n",
+    "\n",
+    "<img src=\"img/circuit.png\" alt=\"Circuit\" width=50%/>\n",
     "\n"
    ]
   },
@@ -1078,12 +1080,13 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "id": "d5d83038",
+   "metadata": {},
    "source": [
     "## Prediction distribution\n",
     "You can plot the prediction distribution for both classes ($b$ and $\\bar{b}$) in order to check if a discrimination is possible."
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   },
   {
    "cell_type": "code",
@@ -1825,16 +1828,17 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "id": "1fef53a3",
+   "metadata": {},
    "source": [
     "# Final considerations\n",
     "At this point you can do several things to improve this exercise:\n",
     "- choose different circuit geometries\n",
     "- choose a different set of input variables\n",
     "- train and test on more data\n",
     "- compare this quantum classifier with other \"classical\" classifier"
-   ],
-   "cell_type": "markdown",
-   "metadata": {}
+   ]
   }
  ],
  "metadata": {
@@ -1858,4 +1862,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 5
-}
+}