add img for workflow

Opflow hands on.ipynb

@@ -13,9 +13,14 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Opflow constituents\n",
-    "\n",
-    "Put some kind of graph with Operators, ListOps, StateFn"
+    "# Hands on: Opflow "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<img src=\"OpflowWorkflow.png\" width=\"700\"></img>"
    ]
   },
   {
@@ -27,10 +32,9 @@
     "The two fundamental objects in Opflow are states, which are of type `StateFn`, and operators, which are of type `OperatorBase`.\n",
     "\n",
     "States...\n",
-    "* can be both bra and ket\n",
-    "* need not be normalized\n",
     "* can be based on circuits, vectors or dictionaries (or Operators, see later)\n",
-    "* can be summed"
+    "* can be summed\n",
+    "* need not be normalized"
    ]
   },
   {
@@ -674,7 +678,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 134,
    "metadata": {},
    "outputs": [
     {
@@ -686,7 +690,9 @@
       "MultOp:\n",
       " 0j\n",
       "MaxOp:\n",
-      " 1.0\n"
+      " 1.0\n",
+      "QuadOp:\n",
+      " (2+0j)\n"
      ]
     }
    ],
@@ -710,7 +716,9 @@
     "def quadsum(x):\n",
     "    return sum(x_i ** 2 for x_i in x)\n",
     "\n",
-    "quad_op = ListOp([I, X, Y, Z], combo_fn=quad)"
+    "quad_op = ListOp([I, X, Y, Z], combo_fn=quadsum)\n",
+    "expectations = ~StateFn(quad_op) @ Zero\n",
+    "print('QuadOp:\\n', expectations.eval())"
    ]
   },
   {