Renaming in docs and example

Author: nwittler

docs/Simulated_calibration.rst

@@ -124,7 +124,7 @@ to wrap the blackbox by defining the target states and the ``opt_map``.
             exp.set_opt_gates_seq(seqs)
 
             # Simulating the gates #
-            U_dict = exp.get_gates()
+            U_dict = exp.compute_propagators()
 
             # Running the RB sequences and read-out the results #
             pops = exp.evaluate(seqs)

docs/two_qubits.rst

@@ -622,13 +622,13 @@ rotation on one qubit and the identity.
 
     exp.set_opt_gates(['RX90p:Id', 'Id:Id'])
 
-The actual numerical simulation is done by calling ``exp.get_gates()``.
+The actual numerical simulation is done by calling ``exp.compute_propagators()``.
 This is the most resource intensive part as it involves solving the
 equations of motion for the system.
 
 .. code-block:: python
 
-    unitaries = exp.get_gates()
+    unitaries = exp.compute_propagators()
 
 
 .. code-block:: python
@@ -695,7 +695,7 @@ and plot system dynamics.
                 If true, return a matplotlib figure instead of saving.
             """
             model = exp.pmap.model
-            dUs = exp.dUs
+            dUs = exp.partial_propagators
             psi_t = psi_init.numpy()
             pop_t = exp.populations(psi_t, model.lindbladian)
             for gate in seq:

examples/Simulated_calibration.ipynb

@@ -136,7 +136,7 @@
     "        exp.set_opt_gates_seq(seqs)\n",
     "\n",
     "        # Simulating the gates #\n",
-    "        U_dict = exp.get_gates()\n",
+    "        U_dict = exp.compute_propagators()\n",
     "\n",
     "        # Running the RB sequences and read-out the results #\n",
     "        pops = exp.evaluate(seqs)\n",

examples/two_qubits.ipynb

@@ -935,7 +935,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The actual numerical simulation is done by calling `exp.get_gates()`. \n",
+    "The actual numerical simulation is done by calling `exp.compute_propagators()`. \n",
     "This is the most resource intensive part as it involves solving the equations of motion for the system."
    ]
   },
@@ -945,7 +945,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "unitaries = exp.get_gates()"
+    "unitaries = exp.compute_propagators()"
    ]
   },
   {
@@ -1160,7 +1160,7 @@
     "            If true, return a matplotlib figure instead of saving.\n",
     "        \"\"\"\n",
     "        model = exp.pmap.model\n",
-    "        dUs = exp.dUs\n",
+    "        dUs = exp.partial_propagators\n",
     "        psi_t = psi_init.numpy()\n",
     "        pop_t = exp.populations(psi_t, model.lindbladian)\n",
     "        for gate in seq:\n",