variability_results.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "import os\n",
    "from tqdm import tqdm\n",
    "sys.path.append(\"../tools\")\n",
    "from analysis import Analysis\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "analysis = Analysis(load_file='variability_v2.csv', dtype={'init': str})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Part 1 : Experimental path reliability\n",
    "Notes:  \n",
    "I didn't study distance 8 paths, as suggested, but rather distance 6.\n",
    "I did this for the following reason:  \n",
    "- Given that in the melbourne graph ( https://raw.githubusercontent.com/Qiskit/ibmq-device-information/master/backends/melbourne/images/melbourne-connections.png ) the biggest distance happened always between only two qubits (0 and 7), any initialization anomalies in this qubits, or anomalies in the links that link them with the rest of the graph (7_8, 1_0), could introduce biast in the results \n",
    "- Furthermore, distance 7 was also not chosen since this would result in one of those qubits always being chosen as well, and the other one being fixed depending on the choice of the first"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# This is the shape of the table\n",
    "Init: The init value represents the initialization value of the control and target qubits in the beginning. 1st position for control, second for target  \n",
    "Dist: Initial distance between the virtual control and target qubits. A dist of 6 was chosen for all runs.\n",
    "Cntr/Targ: Physical initial position of virtual control/target qubits     \n",
    "Cntr_place: Final position of the virtual qubit that will act as control. The final position of the virt. target qubit is the element in the 'path' string after the referred control (for the first row, it will be 2) .  \n",
    "Cntr_frac: Fraction of the moves performed by virtual control qubit. If 100%, only the control qubit moved.  \n",
    "Meas_interm: Whether the intermediate qubits were measured. In this test, they never were.  \n",
    "Prob_succ: Probability of success of this configuration. (Averaged out of 1024 runs)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
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       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13_12_11_10_9_8_6_i0_s10_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>31</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>13_12_11_10_9_8_6</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>41.992188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_3_4_5_6_8_i5_s01_m0.pkl</th>\n",
       "      <td>45</td>\n",
       "      <td>29</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_3_4_5_6_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.175781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0_1_13_12_11_10_9_i4_s11_m0.pkl</th>\n",
       "      <td>49</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>0_1_13_12_11_10_9</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>11</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>34.765625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0_1_2_3_4_5_6_i1_s10_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>0_1_2_3_4_5_6</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>46.484375</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_5_4_3_2_1_0_i1_s10_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>9_5_4_3_2_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.414062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6_8_9_10_11_12_13_i4_s10_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>27</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>6_8_9_10_11_12_13</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>11</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.988281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_3_4_5_9_8_7_i3_s01_m0.pkl</th>\n",
       "      <td>49</td>\n",
       "      <td>19</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>2_3_4_5_9_8_7</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>67.968750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_10_11_12_13_1_0_i5_s10_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>32</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>9_10_11_12_13_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>48.046875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_10_11_3_2_1_0_i4_s00_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>9_10_11_3_2_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>66.796875</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_12_11_10_9_8_i1_s11_m0.pkl</th>\n",
       "      <td>51</td>\n",
       "      <td>28</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_12_11_10_9_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.468750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_10_4_3_2_1_0_i1_s00_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>26</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>9_10_4_3_2_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>68.847656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_3_11_10_9_8_i5_s00_m0.pkl</th>\n",
       "      <td>46</td>\n",
       "      <td>31</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_3_11_10_9_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>76.953125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_3_4_10_9_8_i2_s00_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>21</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_3_4_10_9_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>63.281250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_10_11_12_2_1_0_i2_s00_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>9_10_11_12_2_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>53.515625</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_3_4_5_6_8_i5_s10_m0.pkl</th>\n",
       "      <td>45</td>\n",
       "      <td>30</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_3_4_5_6_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>26.074219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6_5_4_3_2_1_13_i4_s11_m0.pkl</th>\n",
       "      <td>49</td>\n",
       "      <td>26</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>6_5_4_3_2_1_13</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>28.613281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8_9_10_11_12_2_1_i2_s10_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>19</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>8_9_10_11_12_2_1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>55.566406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_3_4_5_6_8_7_i1_s00_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>26</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>2_3_4_5_6_8_7</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>55.761719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13_1_2_3_4_5_6_i0_s01_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>31</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>13_1_2_3_4_5_6</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>33.886719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_3_4_10_9_8_7_i4_s01_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>26</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>2_3_4_10_9_8_7</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>9</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>67.675781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13_12_11_10_9_8_6_i5_s10_m0.pkl</th>\n",
       "      <td>51</td>\n",
       "      <td>34</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>13_12_11_10_9_8_6</td>\n",
       "      <td>13</td>\n",
       "      <td>6</td>\n",
       "      <td>8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>31.542969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_2_3_4_10_9_8_i1_s10_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>26</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>1_2_3_4_10_9_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>29.394531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6_5_9_10_11_12_13_i2_s11_m0.pkl</th>\n",
       "      <td>47</td>\n",
       "      <td>20</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>6_5_9_10_11_12_13</td>\n",
       "      <td>6</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.968750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2_3_4_5_9_8_7_i5_s00_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>31</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>2_3_4_5_9_8_7</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>8</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>73.828125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0_1_2_3_4_10_9_i3_s10_m0.pkl</th>\n",
       "      <td>48</td>\n",
       "      <td>21</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>0_1_2_3_4_10_9</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>47.656250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0_1_2_3_11_10_9_i1_s01_m0.pkl</th>\n",
       "      <td>51</td>\n",
       "      <td>27</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>0_1_2_3_11_10_9</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>48.828125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8_9_10_11_12_13_1_i1_s01_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>8_9_10_11_12_13_1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>30.371094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9_10_11_12_2_1_0_i1_s00_m0.pkl</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>00</td>\n",
       "      <td>6</td>\n",
       "      <td>9_10_11_12_2_1_0</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>69.335938</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1_13_12_11_10_9_8_i5_s01_m0.pkl</th>\n",
       "      <td>51</td>\n",
       "      <td>33</td>\n",
       "      <td>01</td>\n",
       "      <td>6</td>\n",
       "      <td>1_13_12_11_10_9_8</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>9</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>62.304688</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8_9_5_4_3_2_1_i3_s11_m0.pkl</th>\n",
       "      <td>45</td>\n",
       "      <td>19</td>\n",
       "      <td>11</td>\n",
       "      <td>6</td>\n",
       "      <td>8_9_5_4_3_2_1</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.414062</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1152 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                 size  depth init  dist               path  \\\n",
       "7_8_6_5_4_3_2_i5_s01_m0.pkl        48     31   01     6      7_8_6_5_4_3_2   \n",
       "13_12_11_3_4_5_6_i5_s01_m0.pkl     49     31   01     6   13_12_11_3_4_5_6   \n",
       "2_12_11_10_9_8_7_i1_s00_m0.pkl     50     26   00     6   2_12_11_10_9_8_7   \n",
       "9_10_11_12_13_1_0_i1_s10_m0.pkl    51     26   10     6  9_10_11_12_13_1_0   \n",
       "8_9_10_11_12_2_1_i0_s10_m0.pkl     50     31   10     6   8_9_10_11_12_2_1   \n",
       "13_12_11_10_4_5_6_i0_s10_m0.pkl    47     31   10     6  13_12_11_10_4_5_6   \n",
       "0_1_2_3_11_10_9_i3_s00_m0.pkl      48     21   00     6    0_1_2_3_11_10_9   \n",
       "1_2_12_11_10_9_8_i5_s11_m0.pkl     50     32   11     6   1_2_12_11_10_9_8   \n",
       "7_8_9_5_4_3_2_i5_s10_m0.pkl        49     32   10     6      7_8_9_5_4_3_2   \n",
       "9_10_11_12_13_1_0_i0_s11_m0.pkl    49     31   11     6  9_10_11_12_13_1_0   \n",
       "13_12_11_10_9_8_6_i0_s11_m0.pkl    48     32   11     6  13_12_11_10_9_8_6   \n",
       "8_9_10_11_12_2_1_i4_s01_m0.pkl     47     26   01     6   8_9_10_11_12_2_1   \n",
       "6_5_4_3_2_12_13_i1_s11_m0.pkl      47     25   11     6    6_5_4_3_2_12_13   \n",
       "13_12_2_3_4_5_6_i4_s11_m0.pkl      47     25   11     6    13_12_2_3_4_5_6   \n",
       "8_9_10_4_3_2_1_i0_s01_m0.pkl       49     32   01     6     8_9_10_4_3_2_1   \n",
       "0_1_2_3_4_10_9_i2_s01_m0.pkl       47     20   01     6     0_1_2_3_4_10_9   \n",
       "8_9_5_4_3_2_1_i5_s11_m0.pkl        50     31   11     6      8_9_5_4_3_2_1   \n",
       "8_9_10_11_12_2_1_i5_s00_m0.pkl     50     33   00     6   8_9_10_11_12_2_1   \n",
       "1_2_3_4_5_9_8_i3_s11_m0.pkl        49     20   11     6      1_2_3_4_5_9_8   \n",
       "7_8_9_10_4_3_2_i2_s11_m0.pkl       48     20   11     6     7_8_9_10_4_3_2   \n",
       "13_1_2_3_4_5_6_i0_s10_m0.pkl       49     31   10     6     13_1_2_3_4_5_6   \n",
       "6_5_9_10_11_12_13_i1_s01_m0.pkl    51     27   01     6  6_5_9_10_11_12_13   \n",
       "13_12_11_10_4_5_6_i3_s00_m0.pkl    50     21   00     6  13_12_11_10_4_5_6   \n",
       "7_8_9_10_11_12_2_i4_s11_m0.pkl     51     27   11     6   7_8_9_10_11_12_2   \n",
       "13_12_11_10_9_8_7_i4_s00_m0.pkl    46     26   00     6  13_12_11_10_9_8_7   \n",
       "1_2_3_11_10_9_8_i1_s00_m0.pkl      46     26   00     6    1_2_3_11_10_9_8   \n",
       "13_1_2_3_4_5_6_i0_s00_m0.pkl       48     31   00     6     13_1_2_3_4_5_6   \n",
       "9_10_11_12_2_1_0_i2_s11_m0.pkl     51     21   11     6   9_10_11_12_2_1_0   \n",
       "0_1_2_12_11_10_9_i4_s00_m0.pkl     48     26   00     6   0_1_2_12_11_10_9   \n",
       "13_12_11_10_9_8_7_i3_s10_m0.pkl    49     22   10     6  13_12_11_10_9_8_7   \n",
       "...                               ...    ...  ...   ...                ...   \n",
       "13_12_11_10_9_8_6_i0_s10_m0.pkl    47     31   10     6  13_12_11_10_9_8_6   \n",
       "1_2_3_4_5_6_8_i5_s01_m0.pkl        45     29   01     6      1_2_3_4_5_6_8   \n",
       "0_1_13_12_11_10_9_i4_s11_m0.pkl    49     26   11     6  0_1_13_12_11_10_9   \n",
       "0_1_2_3_4_5_6_i1_s10_m0.pkl        50     26   10     6      0_1_2_3_4_5_6   \n",
       "9_5_4_3_2_1_0_i1_s10_m0.pkl        50     26   10     6      9_5_4_3_2_1_0   \n",
       "6_8_9_10_11_12_13_i4_s10_m0.pkl    47     27   10     6  6_8_9_10_11_12_13   \n",
       "2_3_4_5_9_8_7_i3_s01_m0.pkl        49     19   01     6      2_3_4_5_9_8_7   \n",
       "9_10_11_12_13_1_0_i5_s10_m0.pkl    47     32   10     6  9_10_11_12_13_1_0   \n",
       "9_10_11_3_2_1_0_i4_s00_m0.pkl      50     26   00     6    9_10_11_3_2_1_0   \n",
       "1_2_12_11_10_9_8_i1_s11_m0.pkl     51     28   11     6   1_2_12_11_10_9_8   \n",
       "9_10_4_3_2_1_0_i1_s00_m0.pkl       48     26   00     6     9_10_4_3_2_1_0   \n",
       "1_2_3_11_10_9_8_i5_s00_m0.pkl      46     31   00     6    1_2_3_11_10_9_8   \n",
       "1_2_3_4_10_9_8_i2_s00_m0.pkl       48     21   00     6     1_2_3_4_10_9_8   \n",
       "9_10_11_12_2_1_0_i2_s00_m0.pkl     50     21   00     6   9_10_11_12_2_1_0   \n",
       "1_2_3_4_5_6_8_i5_s10_m0.pkl        45     30   10     6      1_2_3_4_5_6_8   \n",
       "6_5_4_3_2_1_13_i4_s11_m0.pkl       49     26   11     6     6_5_4_3_2_1_13   \n",
       "8_9_10_11_12_2_1_i2_s10_m0.pkl     50     19   10     6   8_9_10_11_12_2_1   \n",
       "2_3_4_5_6_8_7_i1_s00_m0.pkl        48     26   00     6      2_3_4_5_6_8_7   \n",
       "13_1_2_3_4_5_6_i0_s01_m0.pkl       48     31   01     6     13_1_2_3_4_5_6   \n",
       "2_3_4_10_9_8_7_i4_s01_m0.pkl       47     26   01     6     2_3_4_10_9_8_7   \n",
       "13_12_11_10_9_8_6_i5_s10_m0.pkl    51     34   10     6  13_12_11_10_9_8_6   \n",
       "1_2_3_4_10_9_8_i1_s10_m0.pkl       47     26   10     6     1_2_3_4_10_9_8   \n",
       "6_5_9_10_11_12_13_i2_s11_m0.pkl    47     20   11     6  6_5_9_10_11_12_13   \n",
       "2_3_4_5_9_8_7_i5_s00_m0.pkl        48     31   00     6      2_3_4_5_9_8_7   \n",
       "0_1_2_3_4_10_9_i3_s10_m0.pkl       48     21   10     6     0_1_2_3_4_10_9   \n",
       "0_1_2_3_11_10_9_i1_s01_m0.pkl      51     27   01     6    0_1_2_3_11_10_9   \n",
       "8_9_10_11_12_13_1_i1_s01_m0.pkl    50     26   01     6  8_9_10_11_12_13_1   \n",
       "9_10_11_12_2_1_0_i1_s00_m0.pkl     50     26   00     6   9_10_11_12_2_1_0   \n",
       "1_13_12_11_10_9_8_i5_s01_m0.pkl    51     33   01     6  1_13_12_11_10_9_8   \n",
       "8_9_5_4_3_2_1_i3_s11_m0.pkl        45     19   11     6      8_9_5_4_3_2_1   \n",
       "\n",
       "                                 cntr  targ  cntr_place  cntr_frac  \\\n",
       "7_8_6_5_4_3_2_i5_s01_m0.pkl         7     2           3      100.0   \n",
       "13_12_11_3_4_5_6_i5_s01_m0.pkl     13     6           5      100.0   \n",
       "2_12_11_10_9_8_7_i1_s00_m0.pkl      2     7          12       20.0   \n",
       "9_10_11_12_13_1_0_i1_s10_m0.pkl     9     0          10       20.0   \n",
       "8_9_10_11_12_2_1_i0_s10_m0.pkl      8     1           8        0.0   \n",
       "13_12_11_10_4_5_6_i0_s10_m0.pkl    13     6          13        0.0   \n",
       "0_1_2_3_11_10_9_i3_s00_m0.pkl       0     9           3       60.0   \n",
       "1_2_12_11_10_9_8_i5_s11_m0.pkl      1     8           9      100.0   \n",
       "7_8_9_5_4_3_2_i5_s10_m0.pkl         7     2           3      100.0   \n",
       "9_10_11_12_13_1_0_i0_s11_m0.pkl     9     0           9        0.0   \n",
       "13_12_11_10_9_8_6_i0_s11_m0.pkl    13     6          13        0.0   \n",
       "8_9_10_11_12_2_1_i4_s01_m0.pkl      8     1          12       80.0   \n",
       "6_5_4_3_2_12_13_i1_s11_m0.pkl       6    13           5       20.0   \n",
       "13_12_2_3_4_5_6_i4_s11_m0.pkl      13     6           4       80.0   \n",
       "8_9_10_4_3_2_1_i0_s01_m0.pkl        8     1           8        0.0   \n",
       "0_1_2_3_4_10_9_i2_s01_m0.pkl        0     9           2       40.0   \n",
       "8_9_5_4_3_2_1_i5_s11_m0.pkl         8     1           2      100.0   \n",
       "8_9_10_11_12_2_1_i5_s00_m0.pkl      8     1           2      100.0   \n",
       "1_2_3_4_5_9_8_i3_s11_m0.pkl         1     8           4       60.0   \n",
       "7_8_9_10_4_3_2_i2_s11_m0.pkl        7     2           9       40.0   \n",
       "13_1_2_3_4_5_6_i0_s10_m0.pkl       13     6          13        0.0   \n",
       "6_5_9_10_11_12_13_i1_s01_m0.pkl     6    13           5       20.0   \n",
       "13_12_11_10_4_5_6_i3_s00_m0.pkl    13     6          10       60.0   \n",
       "7_8_9_10_11_12_2_i4_s11_m0.pkl      7     2          11       80.0   \n",
       "13_12_11_10_9_8_7_i4_s00_m0.pkl    13     7           9       80.0   \n",
       "1_2_3_11_10_9_8_i1_s00_m0.pkl       1     8           2       20.0   \n",
       "13_1_2_3_4_5_6_i0_s00_m0.pkl       13     6          13        0.0   \n",
       "9_10_11_12_2_1_0_i2_s11_m0.pkl      9     0          11       40.0   \n",
       "0_1_2_12_11_10_9_i4_s00_m0.pkl      0     9          11       80.0   \n",
       "13_12_11_10_9_8_7_i3_s10_m0.pkl    13     7          10       60.0   \n",
       "...                               ...   ...         ...        ...   \n",
       "13_12_11_10_9_8_6_i0_s10_m0.pkl    13     6          13        0.0   \n",
       "1_2_3_4_5_6_8_i5_s01_m0.pkl         1     8           6      100.0   \n",
       "0_1_13_12_11_10_9_i4_s11_m0.pkl     0     9          11       80.0   \n",
       "0_1_2_3_4_5_6_i1_s10_m0.pkl         0     6           1       20.0   \n",
       "9_5_4_3_2_1_0_i1_s10_m0.pkl         9     0           5       20.0   \n",
       "6_8_9_10_11_12_13_i4_s10_m0.pkl     6    13          11       80.0   \n",
       "2_3_4_5_9_8_7_i3_s01_m0.pkl         2     7           5       60.0   \n",
       "9_10_11_12_13_1_0_i5_s10_m0.pkl     9     0           1      100.0   \n",
       "9_10_11_3_2_1_0_i4_s00_m0.pkl       9     0           2       80.0   \n",
       "1_2_12_11_10_9_8_i1_s11_m0.pkl      1     8           2       20.0   \n",
       "9_10_4_3_2_1_0_i1_s00_m0.pkl        9     0          10       20.0   \n",
       "1_2_3_11_10_9_8_i5_s00_m0.pkl       1     8           9      100.0   \n",
       "1_2_3_4_10_9_8_i2_s00_m0.pkl        1     8           3       40.0   \n",
       "9_10_11_12_2_1_0_i2_s00_m0.pkl      9     0          11       40.0   \n",
       "1_2_3_4_5_6_8_i5_s10_m0.pkl         1     8           6      100.0   \n",
       "6_5_4_3_2_1_13_i4_s11_m0.pkl        6    13           2       80.0   \n",
       "8_9_10_11_12_2_1_i2_s10_m0.pkl      8     1          10       40.0   \n",
       "2_3_4_5_6_8_7_i1_s00_m0.pkl         2     7           3       20.0   \n",
       "13_1_2_3_4_5_6_i0_s01_m0.pkl       13     6          13        0.0   \n",
       "2_3_4_10_9_8_7_i4_s01_m0.pkl        2     7           9       80.0   \n",
       "13_12_11_10_9_8_6_i5_s10_m0.pkl    13     6           8      100.0   \n",
       "1_2_3_4_10_9_8_i1_s10_m0.pkl        1     8           2       20.0   \n",
       "6_5_9_10_11_12_13_i2_s11_m0.pkl     6    13           9       40.0   \n",
       "2_3_4_5_9_8_7_i5_s00_m0.pkl         2     7           8      100.0   \n",
       "0_1_2_3_4_10_9_i3_s10_m0.pkl        0     9           3       60.0   \n",
       "0_1_2_3_11_10_9_i1_s01_m0.pkl       0     9           1       20.0   \n",
       "8_9_10_11_12_13_1_i1_s01_m0.pkl     8     1           9       20.0   \n",
       "9_10_11_12_2_1_0_i1_s00_m0.pkl      9     0          10       20.0   \n",
       "1_13_12_11_10_9_8_i5_s01_m0.pkl     1     8           9      100.0   \n",
       "8_9_5_4_3_2_1_i3_s11_m0.pkl         8     1           4       60.0   \n",
       "\n",
       "                                 meas_interm  prob_succ  \n",
       "7_8_6_5_4_3_2_i5_s01_m0.pkl                0  49.707031  \n",
       "13_12_11_3_4_5_6_i5_s01_m0.pkl             0  60.058594  \n",
       "2_12_11_10_9_8_7_i1_s00_m0.pkl             0  45.410156  \n",
       "9_10_11_12_13_1_0_i1_s10_m0.pkl            0  57.714844  \n",
       "8_9_10_11_12_2_1_i0_s10_m0.pkl             0  58.300781  \n",
       "13_12_11_10_4_5_6_i0_s10_m0.pkl            0  61.035156  \n",
       "0_1_2_3_11_10_9_i3_s00_m0.pkl              0  64.160156  \n",
       "1_2_12_11_10_9_8_i5_s11_m0.pkl             0  26.464844  \n",
       "7_8_9_5_4_3_2_i5_s10_m0.pkl                0  41.406250  \n",
       "9_10_11_12_13_1_0_i0_s11_m0.pkl            0  31.933594  \n",
       "13_12_11_10_9_8_6_i0_s11_m0.pkl            0  46.484375  \n",
       "8_9_10_11_12_2_1_i4_s01_m0.pkl             0  25.488281  \n",
       "6_5_4_3_2_12_13_i1_s11_m0.pkl              0  27.832031  \n",
       "13_12_2_3_4_5_6_i4_s11_m0.pkl              0  29.394531  \n",
       "8_9_10_4_3_2_1_i0_s01_m0.pkl               0  57.812500  \n",
       "0_1_2_3_4_10_9_i2_s01_m0.pkl               0  40.234375  \n",
       "8_9_5_4_3_2_1_i5_s11_m0.pkl                0  38.183594  \n",
       "8_9_10_11_12_2_1_i5_s00_m0.pkl             0  55.566406  \n",
       "1_2_3_4_5_9_8_i3_s11_m0.pkl                0  38.183594  \n",
       "7_8_9_10_4_3_2_i2_s11_m0.pkl               0  56.054688  \n",
       "13_1_2_3_4_5_6_i0_s10_m0.pkl               0  45.898438  \n",
       "6_5_9_10_11_12_13_i1_s01_m0.pkl            0  53.710938  \n",
       "13_12_11_10_4_5_6_i3_s00_m0.pkl            0  68.164062  \n",
       "7_8_9_10_11_12_2_i4_s11_m0.pkl             0  33.691406  \n",
       "13_12_11_10_9_8_7_i4_s00_m0.pkl            0  76.367188  \n",
       "1_2_3_11_10_9_8_i1_s00_m0.pkl              0  72.558594  \n",
       "13_1_2_3_4_5_6_i0_s00_m0.pkl               0  77.734375  \n",
       "9_10_11_12_2_1_0_i2_s11_m0.pkl             0  39.062500  \n",
       "0_1_2_12_11_10_9_i4_s00_m0.pkl             0  61.328125  \n",
       "13_12_11_10_9_8_7_i3_s10_m0.pkl            0  56.640625  \n",
       "...                                      ...        ...  \n",
       "13_12_11_10_9_8_6_i0_s10_m0.pkl            0  41.992188  \n",
       "1_2_3_4_5_6_8_i5_s01_m0.pkl                0  30.175781  \n",
       "0_1_13_12_11_10_9_i4_s11_m0.pkl            0  34.765625  \n",
       "0_1_2_3_4_5_6_i1_s10_m0.pkl                0  46.484375  \n",
       "9_5_4_3_2_1_0_i1_s10_m0.pkl                0  49.414062  \n",
       "6_8_9_10_11_12_13_i4_s10_m0.pkl            0  37.988281  \n",
       "2_3_4_5_9_8_7_i3_s01_m0.pkl                0  67.968750  \n",
       "9_10_11_12_13_1_0_i5_s10_m0.pkl            0  48.046875  \n",
       "9_10_11_3_2_1_0_i4_s00_m0.pkl              0  66.796875  \n",
       "1_2_12_11_10_9_8_i1_s11_m0.pkl             0  30.468750  \n",
       "9_10_4_3_2_1_0_i1_s00_m0.pkl               0  68.847656  \n",
       "1_2_3_11_10_9_8_i5_s00_m0.pkl              0  76.953125  \n",
       "1_2_3_4_10_9_8_i2_s00_m0.pkl               0  63.281250  \n",
       "9_10_11_12_2_1_0_i2_s00_m0.pkl             0  53.515625  \n",
       "1_2_3_4_5_6_8_i5_s10_m0.pkl                0  26.074219  \n",
       "6_5_4_3_2_1_13_i4_s11_m0.pkl               0  28.613281  \n",
       "8_9_10_11_12_2_1_i2_s10_m0.pkl             0  55.566406  \n",
       "2_3_4_5_6_8_7_i1_s00_m0.pkl                0  55.761719  \n",
       "13_1_2_3_4_5_6_i0_s01_m0.pkl               0  33.886719  \n",
       "2_3_4_10_9_8_7_i4_s01_m0.pkl               0  67.675781  \n",
       "13_12_11_10_9_8_6_i5_s10_m0.pkl            0  31.542969  \n",
       "1_2_3_4_10_9_8_i1_s10_m0.pkl               0  29.394531  \n",
       "6_5_9_10_11_12_13_i2_s11_m0.pkl            0  42.968750  \n",
       "2_3_4_5_9_8_7_i5_s00_m0.pkl                0  73.828125  \n",
       "0_1_2_3_4_10_9_i3_s10_m0.pkl               0  47.656250  \n",
       "0_1_2_3_11_10_9_i1_s01_m0.pkl              0  48.828125  \n",
       "8_9_10_11_12_13_1_i1_s01_m0.pkl            0  30.371094  \n",
       "9_10_11_12_2_1_0_i1_s00_m0.pkl             0  69.335938  \n",
       "1_13_12_11_10_9_8_i5_s01_m0.pkl            0  62.304688  \n",
       "8_9_5_4_3_2_1_i3_s11_m0.pkl                0  49.414062  \n",
       "\n",
       "[1152 rows x 11 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# analysis.df\n",
    "analysis.df.round(decimals=1)\n",
    "analysis.df[['size', 'depth', 'init', 'dist', 'path', 'cntr', 'targ', 'cntr_place', 'cntr_frac', 'meas_interm', 'prob_succ' ]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Initialization states\n",
    "On a first inspection, we can see that the |00> state had the highest average fidelity, as expected (it is not subject to relaxation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>size</th>\n",
       "      <th>depth</th>\n",
       "      <th>dist</th>\n",
       "      <th>cntr</th>\n",
       "      <th>targ</th>\n",
       "      <th>cntr_place</th>\n",
       "      <th>cntr_frac</th>\n",
       "      <th>meas_interm</th>\n",
       "      <th>prob_succ</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>init</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>00</th>\n",
       "      <td>47.909722</td>\n",
       "      <td>25.645833</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>6.611111</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.855740</td>\n",
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       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>48.451389</td>\n",
       "      <td>25.927083</td>\n",
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       "      <td>5.916667</td>\n",
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       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.087863</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>48.472222</td>\n",
       "      <td>25.927083</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>6.611111</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.808960</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>49.013889</td>\n",
       "      <td>26.208333</td>\n",
       "      <td>6.0</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>5.916667</td>\n",
       "      <td>6.611111</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>44.009399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           size      depth  dist      cntr      targ  cntr_place  cntr_frac  \\\n",
       "init                                                                          \n",
       "00    47.909722  25.645833   6.0  5.916667  5.916667    6.611111       50.0   \n",
       "01    48.451389  25.927083   6.0  5.916667  5.916667    6.611111       50.0   \n",
       "10    48.472222  25.927083   6.0  5.916667  5.916667    6.611111       50.0   \n",
       "11    49.013889  26.208333   6.0  5.916667  5.916667    6.611111       50.0   \n",
       "\n",
       "      meas_interm  prob_succ  \n",
       "init                          \n",
       "00            0.0  61.855740  \n",
       "01            0.0  49.087863  \n",
       "10            0.0  44.808960  \n",
       "11            0.0  44.009399  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.df.groupby(['init']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However, to be more accurate, we should perform this inspection within moving configurations (path, final position of control qubit), so that we see how each initial state fares WITHIN each configuration.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>77.636719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>60.449219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>48</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>37.695312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>49</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>0</td>\n",
       "      <td>42.578125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">2</th>\n",
       "      <th>00</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>68.261719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>57.519531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>31.152344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0</td>\n",
       "      <td>36.328125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">3</th>\n",
       "      <th>00</th>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>53.027344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>22.363281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>24.902344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0</td>\n",
       "      <td>39.453125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">4</th>\n",
       "      <th>00</th>\n",
       "      <td>46</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>56.347656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>46</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>50.488281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>46</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>46.875000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>46</td>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>0</td>\n",
       "      <td>50.195312</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">5</th>\n",
       "      <th>00</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>70.117188</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>58.593750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.414062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.121094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"4\" valign=\"top\">9</th>\n",
       "      <th>00</th>\n",
       "      <td>50</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>73.828125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>01</th>\n",
       "      <td>50</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>51.660156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>50</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>63.769531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>50</td>\n",
       "      <td>31</td>\n",
       "      <td>6</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0</td>\n",
       "      <td>49.121094</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1152 rows × 8 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                   size  depth  dist  cntr  targ  cntr_frac  \\\n",
       "path              cntr_place init                                             \n",
       "0_1_13_12_11_10_9 0          00      50     33     6     0     9        0.0   \n",
       "                             01      51     34     6     0     9        0.0   \n",
       "                             10      50     33     6     0     9        0.0   \n",
       "                             11      51     34     6     0     9        0.0   \n",
       "                  1          00      50     26     6     0     9       20.0   \n",
       "                             01      51     27     6     0     9       20.0   \n",
       "                             10      50     26     6     0     9       20.0   \n",
       "                             11      51     27     6     0     9       20.0   \n",
       "                  10         00      52     33     6     0     9      100.0   \n",
       "                             01      52     33     6     0     9      100.0   \n",
       "                             10      52     33     6     0     9      100.0   \n",
       "                             11      52     33     6     0     9      100.0   \n",
       "                  11         00      48     26     6     0     9       80.0   \n",
       "                             01      49     26     6     0     9       80.0   \n",
       "                             10      48     26     6     0     9       80.0   \n",
       "                             11      49     26     6     0     9       80.0   \n",
       "                  12         00      50     21     6     0     9       60.0   \n",
       "                             01      51     21     6     0     9       60.0   \n",
       "                             10      50     21     6     0     9       60.0   \n",
       "                             11      51     21     6     0     9       60.0   \n",
       "                  13         00      48     19     6     0     9       40.0   \n",
       "                             01      49     20     6     0     9       40.0   \n",
       "                             10      48     19     6     0     9       40.0   \n",
       "                             11      49     20     6     0     9       40.0   \n",
       "0_1_2_12_11_10_9  0          00      48     31     6     0     9        0.0   \n",
       "                             01      49     32     6     0     9        0.0   \n",
       "                             10      48     31     6     0     9        0.0   \n",
       "                             11      49     32     6     0     9        0.0   \n",
       "                  1          00      46     24     6     0     9       20.0   \n",
       "                             01      47     25     6     0     9       20.0   \n",
       "...                                 ...    ...   ...   ...   ...        ...   \n",
       "9_10_4_3_2_1_0    9          10      47     31     6     9     0        0.0   \n",
       "                             11      47     31     6     9     0        0.0   \n",
       "                  10         00      48     26     6     9     0       20.0   \n",
       "                             01      48     26     6     9     0       20.0   \n",
       "                             10      49     26     6     9     0       20.0   \n",
       "                             11      49     26     6     9     0       20.0   \n",
       "9_5_4_3_2_1_0     1          00      48     31     6     9     0      100.0   \n",
       "                             01      49     31     6     9     0      100.0   \n",
       "                             10      48     31     6     9     0      100.0   \n",
       "                             11      49     31     6     9     0      100.0   \n",
       "                  2          00      50     26     6     9     0       80.0   \n",
       "                             01      50     26     6     9     0       80.0   \n",
       "                             10      50     26     6     9     0       80.0   \n",
       "                             11      50     26     6     9     0       80.0   \n",
       "                  3          00      50     21     6     9     0       60.0   \n",
       "                             01      50     21     6     9     0       60.0   \n",
       "                             10      50     21     6     9     0       60.0   \n",
       "                             11      50     21     6     9     0       60.0   \n",
       "                  4          00      46     19     6     9     0       40.0   \n",
       "                             01      46     19     6     9     0       40.0   \n",
       "                             10      46     19     6     9     0       40.0   \n",
       "                             11      46     19     6     9     0       40.0   \n",
       "                  5          00      50     26     6     9     0       20.0   \n",
       "                             01      50     26     6     9     0       20.0   \n",
       "                             10      50     26     6     9     0       20.0   \n",
       "                             11      50     26     6     9     0       20.0   \n",
       "                  9          00      50     31     6     9     0        0.0   \n",
       "                             01      50     31     6     9     0        0.0   \n",
       "                             10      50     31     6     9     0        0.0   \n",
       "                             11      50     31     6     9     0        0.0   \n",
       "\n",
       "                                   meas_interm  prob_succ  \n",
       "path              cntr_place init                          \n",
       "0_1_13_12_11_10_9 0          00              0  69.140625  \n",
       "                             01              0  55.273438  \n",
       "                             10              0  57.031250  \n",
       "                             11              0  61.816406  \n",
       "                  1          00              0  54.003906  \n",
       "                             01              0  40.332031  \n",
       "                             10              0  37.890625  \n",
       "                             11              0  36.718750  \n",
       "                  10         00              0  62.304688  \n",
       "                             01              0  62.207031  \n",
       "                             10              0  32.128906  \n",
       "                             11              0  33.300781  \n",
       "                  11         00              0  59.472656  \n",
       "                             01              0  54.101562  \n",
       "                             10              0  31.152344  \n",
       "                             11              0  34.765625  \n",
       "                  12         00              0  53.417969  \n",
       "                             01              0  44.238281  \n",
       "                             10              0  32.128906  \n",
       "                             11              0  36.328125  \n",
       "                  13         00              0  38.085938  \n",
       "                             01              0  33.300781  \n",
       "                             10              0  45.507812  \n",
       "                             11              0  44.824219  \n",
       "0_1_2_12_11_10_9  0          00              0  65.429688  \n",
       "                             01              0  43.457031  \n",
       "                             10              0  52.929688  \n",
       "                             11              0  42.382812  \n",
       "                  1          00              0  35.644531  \n",
       "                             01              0  25.000000  \n",
       "...                                        ...        ...  \n",
       "9_10_4_3_2_1_0    9          10              0  63.671875  \n",
       "                             11              0  58.496094  \n",
       "                  10         00              0  68.847656  \n",
       "                             01              0  55.078125  \n",
       "                             10              0  67.578125  \n",
       "                             11              0  51.269531  \n",
       "9_5_4_3_2_1_0     1          00              0  77.636719  \n",
       "                             01              0  60.449219  \n",
       "                             10              0  37.695312  \n",
       "                             11              0  42.578125  \n",
       "                  2          00              0  68.261719  \n",
       "                             01              0  57.519531  \n",
       "                             10              0  31.152344  \n",
       "                             11              0  36.328125  \n",
       "                  3          00              0  53.027344  \n",
       "                             01              0  22.363281  \n",
       "                             10              0  24.902344  \n",
       "                             11              0  39.453125  \n",
       "                  4          00              0  56.347656  \n",
       "                             01              0  50.488281  \n",
       "                             10              0  46.875000  \n",
       "                             11              0  50.195312  \n",
       "                  5          00              0  70.117188  \n",
       "                             01              0  58.593750  \n",
       "                             10              0  49.414062  \n",
       "                             11              0  49.121094  \n",
       "                  9          00              0  73.828125  \n",
       "                             01              0  51.660156  \n",
       "                             10              0  63.769531  \n",
       "                             11              0  49.121094  \n",
       "\n",
       "[1152 rows x 8 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.df.groupby(['path', 'cntr_place', 'init']).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Performing this comparison we get:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "00    257\n",
       "11     16\n",
       "01     12\n",
       "10      3\n",
       "Name: init, dtype: int64"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# analysis.df.sort_values('prob_succ', ascending=False)#groupby(['path', 'cntr_frac']).agg({'prob_succ':'max'})\n",
    "# analysis.df.sort_values('prob_succ', ascending=False).groupby(['path', 'cntr_frac']).first()\n",
    "analysis.df.loc[analysis.df.groupby(['path', 'cntr_frac'])['prob_succ'].idxmax()]['init'].value_counts()\n",
    "# analysis.df.sort_values('prob_succ', ascending=False).groupby(['path', 'cntr_place']).first()\n",
    "# analysis.df.groupby(['cntr_frac']).mean()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can see that for the staggering majority of path, movement combinations, state |00> had the highest fidelity in the end."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10    132\n",
       "11    101\n",
       "01     53\n",
       "00      2\n",
       "Name: init, dtype: int64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "analysis.df.loc[analysis.df.groupby(['path', 'cntr_frac'])['prob_succ'].idxmin()]['init'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As for the worst states, this title was disputed between |10> and |11>. These can then be used for future worst case simulations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Best movement pattern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.0      17\n",
       "100.0    13\n",
       "20.0      6\n",
       "40.0      6\n",
       "80.0      3\n",
       "60.0      3\n",
       "Name: cntr_frac, dtype: int64"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# analysis.df.loc[analysis.df.groupby(['path'])['prob_succ'].idxmax()]['cntr_frac'].value_counts()\n",
    "analysis.df.sort_values('prob_succ', ascending=False).groupby(['path']).max()\n",
    "# for key, item in analysis.df.groupby('path'):\n",
    "#     print(analysis.df.groupby('path').get_group(key))\n",
    "analysis.df.loc[analysis.df.groupby(by='path')['prob_succ'].idxmax()]['cntr_frac'].value_counts()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Surprisingly, the best overall movement pattern was not meeting in the middle.  \n",
    "The best ones were 0% (the target qubit moving) and 100% (the control qubit doing all the moving).  \n",
    "Maybe it's a good idea to check whether this tendency is being specifically influenciated by any of the initial states we tried...  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.0      17\n",
      "100.0    13\n",
      "40.0      7\n",
      "20.0      5\n",
      "80.0      3\n",
      "60.0      3\n",
      "Name: cntr_frac, dtype: int64\n",
      "100.0    32\n",
      "80.0      5\n",
      "0.0       5\n",
      "40.0      3\n",
      "60.0      2\n",
      "20.0      1\n",
      "Name: cntr_frac, dtype: int64\n",
      "0.0      28\n",
      "20.0     10\n",
      "40.0      4\n",
      "80.0      3\n",
      "100.0     2\n",
      "60.0      1\n",
      "Name: cntr_frac, dtype: int64\n",
      "0.0      14\n",
      "100.0    12\n",
      "20.0     11\n",
      "40.0      5\n",
      "60.0      4\n",
      "80.0      2\n",
      "Name: cntr_frac, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "test_df = analysis.df[analysis.df['init'] == '00']\n",
    "print(test_df.loc[test_df.groupby(by='path')['prob_succ'].idxmax()]['cntr_frac'].value_counts())\n",
    "test_df = analysis.df[analysis.df['init'] == '01']\n",
    "print(test_df.loc[test_df.groupby(by='path')['prob_succ'].idxmax()]['cntr_frac'].value_counts())\n",
    "test_df = analysis.df[analysis.df['init'] == '10']\n",
    "print(test_df.loc[test_df.groupby(by='path')['prob_succ'].idxmax()]['cntr_frac'].value_counts())\n",
    "test_df = analysis.df[analysis.df['init'] == '11']\n",
    "print(test_df.loc[test_df.groupby(by='path')['prob_succ'].idxmax()]['cntr_frac'].value_counts())\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No, it still appears to dominate...  \n",
    "Or, it could also stem from the fact that this architecture is directed and, therefore, there may be preferrential directions, favouring the movement of only one of the qubits?  \n",
    "Does seem this would be the reason, since the link directions are kind of randomized, but...  \n",
    "This will have to be tested in Tokyo, I think."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PART 2: Expected 2qb gate reliability\n",
    "Obtained from the link fidelity (this case also includes gate fidelity, since if is for Q16 Melbourne, which has directed links).\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
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       "      <td>0.673331</td>\n",
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       "      <th>1</th>\n",
       "      <td>0.957345</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.914163</td>\n",
       "      <td>0.796313</td>\n",
       "      <td>0.667515</td>\n",
       "      <td>0.519052</td>\n",
       "      <td>0.450234</td>\n",
       "      <td>0.422249</td>\n",
       "      <td>0.479758</td>\n",
       "      <td>0.556307</td>\n",
       "      <td>0.644151</td>\n",
       "      <td>0.725923</td>\n",
       "      <td>0.701854</td>\n",
       "      <td>0.803434</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.766016</td>\n",
       "      <td>0.893445</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.963749</td>\n",
       "      <td>0.827244</td>\n",
       "      <td>0.673508</td>\n",
       "      <td>0.586496</td>\n",
       "      <td>0.516152</td>\n",
       "      <td>0.586451</td>\n",
       "      <td>0.676289</td>\n",
       "      <td>0.779592</td>\n",
       "      <td>0.878558</td>\n",
       "      <td>0.906016</td>\n",
       "      <td>0.778059</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.673331</td>\n",
       "      <td>0.785342</td>\n",
       "      <td>0.950710</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.936822</td>\n",
       "      <td>0.762721</td>\n",
       "      <td>0.664184</td>\n",
       "      <td>0.584522</td>\n",
       "      <td>0.664133</td>\n",
       "      <td>0.765871</td>\n",
       "      <td>0.875103</td>\n",
       "      <td>0.964118</td>\n",
       "      <td>0.861016</td>\n",
       "      <td>0.739414</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.564424</td>\n",
       "      <td>0.658318</td>\n",
       "      <td>0.835288</td>\n",
       "      <td>0.945932</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.914060</td>\n",
       "      <td>0.795971</td>\n",
       "      <td>0.622387</td>\n",
       "      <td>0.707154</td>\n",
       "      <td>0.819986</td>\n",
       "      <td>0.949466</td>\n",
       "      <td>0.862316</td>\n",
       "      <td>0.729464</td>\n",
       "      <td>0.626441</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0.438890</td>\n",
       "      <td>0.511900</td>\n",
       "      <td>0.676142</td>\n",
       "      <td>0.765705</td>\n",
       "      <td>0.922333</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.958649</td>\n",
       "      <td>0.745100</td>\n",
       "      <td>0.846582</td>\n",
       "      <td>0.951789</td>\n",
       "      <td>0.816893</td>\n",
       "      <td>0.733084</td>\n",
       "      <td>0.623551</td>\n",
       "      <td>0.535486</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>0.380700</td>\n",
       "      <td>0.444030</td>\n",
       "      <td>0.586496</td>\n",
       "      <td>0.664184</td>\n",
       "      <td>0.800045</td>\n",
       "      <td>0.951226</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.849645</td>\n",
       "      <td>0.965365</td>\n",
       "      <td>0.845337</td>\n",
       "      <td>0.735155</td>\n",
       "      <td>0.659733</td>\n",
       "      <td>0.561159</td>\n",
       "      <td>0.481906</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>0.357037</td>\n",
       "      <td>0.416431</td>\n",
       "      <td>0.519933</td>\n",
       "      <td>0.588804</td>\n",
       "      <td>0.624238</td>\n",
       "      <td>0.748876</td>\n",
       "      <td>0.856657</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.961092</td>\n",
       "      <td>0.837947</td>\n",
       "      <td>0.725911</td>\n",
       "      <td>0.651436</td>\n",
       "      <td>0.554102</td>\n",
       "      <td>0.475846</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>0.405665</td>\n",
       "      <td>0.473148</td>\n",
       "      <td>0.590746</td>\n",
       "      <td>0.668998</td>\n",
       "      <td>0.709258</td>\n",
       "      <td>0.843283</td>\n",
       "      <td>0.956442</td>\n",
       "      <td>0.952832</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.948392</td>\n",
       "      <td>0.824778</td>\n",
       "      <td>0.740160</td>\n",
       "      <td>0.629570</td>\n",
       "      <td>0.540655</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>0.470391</td>\n",
       "      <td>0.548642</td>\n",
       "      <td>0.685005</td>\n",
       "      <td>0.775741</td>\n",
       "      <td>0.809878</td>\n",
       "      <td>0.942874</td>\n",
       "      <td>0.854622</td>\n",
       "      <td>0.843875</td>\n",
       "      <td>0.958809</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.956378</td>\n",
       "      <td>0.858259</td>\n",
       "      <td>0.730023</td>\n",
       "      <td>0.626921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>0.544668</td>\n",
       "      <td>0.635276</td>\n",
       "      <td>0.769045</td>\n",
       "      <td>0.868739</td>\n",
       "      <td>0.937761</td>\n",
       "      <td>0.808372</td>\n",
       "      <td>0.729810</td>\n",
       "      <td>0.720632</td>\n",
       "      <td>0.818780</td>\n",
       "      <td>0.944209</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.957345</td>\n",
       "      <td>0.845297</td>\n",
       "      <td>0.725915</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>0.613812</td>\n",
       "      <td>0.715921</td>\n",
       "      <td>0.866672</td>\n",
       "      <td>0.972385</td>\n",
       "      <td>0.854011</td>\n",
       "      <td>0.725438</td>\n",
       "      <td>0.654935</td>\n",
       "      <td>0.646699</td>\n",
       "      <td>0.734778</td>\n",
       "      <td>0.847339</td>\n",
       "      <td>0.968189</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.952604</td>\n",
       "      <td>0.818067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>0.588113</td>\n",
       "      <td>0.694823</td>\n",
       "      <td>0.920542</td>\n",
       "      <td>0.855133</td>\n",
       "      <td>0.722439</td>\n",
       "      <td>0.619291</td>\n",
       "      <td>0.557325</td>\n",
       "      <td>0.550317</td>\n",
       "      <td>0.625269</td>\n",
       "      <td>0.725035</td>\n",
       "      <td>0.839521</td>\n",
       "      <td>0.942351</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.939606</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0.696085</td>\n",
       "      <td>0.823223</td>\n",
       "      <td>0.790533</td>\n",
       "      <td>0.738926</td>\n",
       "      <td>0.620408</td>\n",
       "      <td>0.535134</td>\n",
       "      <td>0.481589</td>\n",
       "      <td>0.475533</td>\n",
       "      <td>0.540299</td>\n",
       "      <td>0.626508</td>\n",
       "      <td>0.725436</td>\n",
       "      <td>0.817528</td>\n",
       "      <td>0.956016</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0         1         2         3         4         5         6   \\\n",
       "0        NaN  0.939806  0.772980  0.673331  0.564424  0.438890  0.380700   \n",
       "1   0.957345       NaN  0.914163  0.796313  0.667515  0.519052  0.450234   \n",
       "2   0.766016  0.893445       NaN  0.963749  0.827244  0.673508  0.586496   \n",
       "3   0.673331  0.785342  0.950710       NaN  0.936822  0.762721  0.664184   \n",
       "4   0.564424  0.658318  0.835288  0.945932       NaN  0.914060  0.795971   \n",
       "5   0.438890  0.511900  0.676142  0.765705  0.922333       NaN  0.958649   \n",
       "6   0.380700  0.444030  0.586496  0.664184  0.800045  0.951226       NaN   \n",
       "7   0.357037  0.416431  0.519933  0.588804  0.624238  0.748876  0.856657   \n",
       "8   0.405665  0.473148  0.590746  0.668998  0.709258  0.843283  0.956442   \n",
       "9   0.470391  0.548642  0.685005  0.775741  0.809878  0.942874  0.854622   \n",
       "10  0.544668  0.635276  0.769045  0.868739  0.937761  0.808372  0.729810   \n",
       "11  0.613812  0.715921  0.866672  0.972385  0.854011  0.725438  0.654935   \n",
       "12  0.588113  0.694823  0.920542  0.855133  0.722439  0.619291  0.557325   \n",
       "13  0.696085  0.823223  0.790533  0.738926  0.620408  0.535134  0.481589   \n",
       "\n",
       "          7         8         9         10        11        12        13  \n",
       "0   0.357037  0.405665  0.470391  0.544668  0.613812  0.593460  0.688843  \n",
       "1   0.422249  0.479758  0.556307  0.644151  0.725923  0.701854  0.803434  \n",
       "2   0.516152  0.586451  0.676289  0.779592  0.878558  0.906016  0.778059  \n",
       "3   0.584522  0.664133  0.765871  0.875103  0.964118  0.861016  0.739414  \n",
       "4   0.622387  0.707154  0.819986  0.949466  0.862316  0.729464  0.626441  \n",
       "5   0.745100  0.846582  0.951789  0.816893  0.733084  0.623551  0.535486  \n",
       "6   0.849645  0.965365  0.845337  0.735155  0.659733  0.561159  0.481906  \n",
       "7        NaN  0.961092  0.837947  0.725911  0.651436  0.554102  0.475846  \n",
       "8   0.952832       NaN  0.948392  0.824778  0.740160  0.629570  0.540655  \n",
       "9   0.843875  0.958809       NaN  0.956378  0.858259  0.730023  0.626921  \n",
       "10  0.720632  0.818780  0.944209       NaN  0.957345  0.845297  0.725915  \n",
       "11  0.646699  0.734778  0.847339  0.968189       NaN  0.952604  0.818067  \n",
       "12  0.550317  0.625269  0.725035  0.839521  0.942351       NaN  0.939606  \n",
       "13  0.475533  0.540299  0.626508  0.725436  0.817528  0.956016       NaN  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv('rel_matrix.csv', header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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