added arguments to description

Author: Patrick Huembeli

Notebooks/pytorch-qiskit-0.1-u3.ipynb

@@ -115,15 +115,15 @@
     "### N_qubit_expectation_Z()\n",
     "This is a function that allows to take the measurements and translate them to Z-expectation values for every single qubit.\n",
     "\n",
-    "### bind()\n",
+    "### bind( parameters )\n",
     "Takes the Neural Network parameters and puts them into a format that can be fed into the QIKSIT unitaries.\n",
     "\n",
     "To generalze this code we would have to write a function that replaces the line `self.circuit.data[2][0]._params`.\n",
     "Because the `self.circuit.data` is a list of all the gates  of the circuit. And the indices direct to the correct gate, where the parameters have to go.\n",
     "\n",
     "At some point we would need a better scheme here.\n",
     "\n",
-    "### run()\n",
+    "### run( parameters )\n",
     "This function puts the circuit with the given parameters on a quantum simulater or hardware and returns the measurements of every qubit in Z-basis"
    ]
   },
@@ -277,7 +277,9 @@
     "\n",
     "We define a cost function and a target expectation value (here -1). The cost is the square distance from the target value.\n",
     "\n",
-    "`x` is the initialization of the parameters. Here again, this was hard coded such that every angle starts at $\\pi / 4$."
+    "`x` is the initialization of the parameters. Here again, this was hard coded such that every angle starts at $\\pi / 4$.\n",
+    "\n",
+    "The rest is standard pytorch optimization"
    ]
   },
   {