[f539ea]: / src / QSVC on real data.ipynb

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{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "ideal-strategy",
   "metadata": {},
   "source": [
    "# Training a Quantum Model on a Real Dataset\n",
    "\n",
    "This tutorial will demonstrate how to train a quantum machine learning model to tackle a classification problem. Previous tutorials have featured small, artificial datasets. Here we will increase the problem complexity by considering a real-life classical dataset. We decided to pick a very well-known – albeit still relatively small – problem: the Iris flower dataset. This dataset even has its own Wikipedia [page](https://en.wikipedia.org/wiki/Iris_flower_data_set). Although the Iris dataset is well known to data scientists, we will briefly introduce it to refresh our memories. For comparison, we'll first train a classical counterpart to the quantum model.\n",
    "\n",
    "So, let's get started:\n",
    "\n",
    "- First, we'll load the dataset and explore what it looks like.\n",
    "- Next, we'll train a classical model using [SVC](https://scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html) from [scikit-learn](https://scikit-learn.org/) to see how well the classification problem can be solved using classical methods.\n",
    "- After that, we'll introduce the Variational Quantum Classifier (VQC).\n",
    "- To conclude, we'll compare the results obtained from both models.\n",
    "\n",
    "## 1. Exploratory Data Analysis\n",
    "\n",
    "First, let us explore the Iris dataset this tutorial will use and see what it contains. For our convenience, this [dataset](https://scikit-learn.org/stable/datasets/toy_dataset.html#iris-dataset) is available in scikit-learn and can be loaded easily."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "valued-leeds",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.datasets import load_iris\n",
    "\n",
    "iris_data = load_iris()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "billion-advance",
   "metadata": {},
   "source": [
    "If no parameters are specified in the `load_iris` function, then a dictionary-like object is returned by scikit-learn. Let's print the description of the dataset and see what is inside."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "everyday-commission",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".. _iris_dataset:\n",
      "\n",
      "Iris plants dataset\n",
      "--------------------\n",
      "\n",
      "**Data Set Characteristics:**\n",
      "\n",
      ":Number of Instances: 150 (50 in each of three classes)\n",
      ":Number of Attributes: 4 numeric, predictive attributes and the class\n",
      ":Attribute Information:\n",
      "    - sepal length in cm\n",
      "    - sepal width in cm\n",
      "    - petal length in cm\n",
      "    - petal width in cm\n",
      "    - class:\n",
      "            - Iris-Setosa\n",
      "            - Iris-Versicolour\n",
      "            - Iris-Virginica\n",
      "\n",
      ":Summary Statistics:\n",
      "\n",
      "============== ==== ==== ======= ===== ====================\n",
      "                Min  Max   Mean    SD   Class Correlation\n",
      "============== ==== ==== ======= ===== ====================\n",
      "sepal length:   4.3  7.9   5.84   0.83    0.7826\n",
      "sepal width:    2.0  4.4   3.05   0.43   -0.4194\n",
      "petal length:   1.0  6.9   3.76   1.76    0.9490  (high!)\n",
      "petal width:    0.1  2.5   1.20   0.76    0.9565  (high!)\n",
      "============== ==== ==== ======= ===== ====================\n",
      "\n",
      ":Missing Attribute Values: None\n",
      ":Class Distribution: 33.3% for each of 3 classes.\n",
      ":Creator: R.A. Fisher\n",
      ":Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov)\n",
      ":Date: July, 1988\n",
      "\n",
      "The famous Iris database, first used by Sir R.A. Fisher. The dataset is taken\n",
      "from Fisher's paper. Note that it's the same as in R, but not as in the UCI\n",
      "Machine Learning Repository, which has two wrong data points.\n",
      "\n",
      "This is perhaps the best known database to be found in the\n",
      "pattern recognition literature.  Fisher's paper is a classic in the field and\n",
      "is referenced frequently to this day.  (See Duda & Hart, for example.)  The\n",
      "data set contains 3 classes of 50 instances each, where each class refers to a\n",
      "type of iris plant.  One class is linearly separable from the other 2; the\n",
      "latter are NOT linearly separable from each other.\n",
      "\n",
      "|details-start|\n",
      "**References**\n",
      "|details-split|\n",
      "\n",
      "- Fisher, R.A. \"The use of multiple measurements in taxonomic problems\"\n",
      "  Annual Eugenics, 7, Part II, 179-188 (1936); also in \"Contributions to\n",
      "  Mathematical Statistics\" (John Wiley, NY, 1950).\n",
      "- Duda, R.O., & Hart, P.E. (1973) Pattern Classification and Scene Analysis.\n",
      "  (Q327.D83) John Wiley & Sons.  ISBN 0-471-22361-1.  See page 218.\n",
      "- Dasarathy, B.V. (1980) \"Nosing Around the Neighborhood: A New System\n",
      "  Structure and Classification Rule for Recognition in Partially Exposed\n",
      "  Environments\".  IEEE Transactions on Pattern Analysis and Machine\n",
      "  Intelligence, Vol. PAMI-2, No. 1, 67-71.\n",
      "- Gates, G.W. (1972) \"The Reduced Nearest Neighbor Rule\".  IEEE Transactions\n",
      "  on Information Theory, May 1972, 431-433.\n",
      "- See also: 1988 MLC Proceedings, 54-64.  Cheeseman et al\"s AUTOCLASS II\n",
      "  conceptual clustering system finds 3 classes in the data.\n",
      "- Many, many more ...\n",
      "\n",
      "|details-end|\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(iris_data.DESCR)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "arctic-girlfriend",
   "metadata": {},
   "source": [
    "There are a few interesting observations we can find from this dataset description:\n",
    "\n",
    "- There are 150 samples (instances) in the dataset.\n",
    "- There are four features (attributes) in each sample.\n",
    "- There are three labels (classes) in the dataset.\n",
    "- The dataset is perfectly balanced, as there are the same number of samples (50) in each class.\n",
    "- We can see features are not normalized, and their value ranges are different, e.g., $[4.3, 7.9]$ and $[0.1, 2.5]$ for sepal length and petal width, respectively. So, transforming the features to the same scale may be helpful.\n",
    "- As stated in the table above, feature-to-class correlation in some cases is very high; this may lead us to think that our model should cope well with the dataset.\n",
    "\n",
    "We only examined the dataset description, but additional properties are available in the `iris_data` object. Now we are going to work with features and labels from the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "mobile-dictionary",
   "metadata": {},
   "outputs": [],
   "source": [
    "features = iris_data.data\n",
    "labels = iris_data.target"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "signed-iraqi",
   "metadata": {},
   "source": [
    "Firstly, we'll normalize the features. Namely, we will apply a simple transformation to represent all features on the same scale. In our case, we squeeze all features onto the interval $[0, 1]$. Normalization is a common technique in machine learning and often leads to better numerical stability and convergence of an algorithm.\n",
    "\n",
    "We can use `MinMaxScaler` from scikit-learn to perform this. Without specifying parameters, this does exactly what is required: maps data onto $[0, 1]$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "alternative-preliminary",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.preprocessing import MinMaxScaler\n",
    "\n",
    "features = MinMaxScaler().fit_transform(features)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "phantom-hollow",
   "metadata": {},
   "source": [
    "Let's see how our data looks. We plot the features pair-wise to see if there's an observable correlation between them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "whole-exhaust",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\8J6010897\\AppData\\Local\\Temp\\ipykernel_10192\\662216932.py:1: DeprecationWarning: \n",
      "Pyarrow will become a required dependency of pandas in the next major release of pandas (pandas 3.0),\n",
      "(to allow more performant data types, such as the Arrow string type, and better interoperability with other libraries)\n",
      "but was not found to be installed on your system.\n",
      "If this would cause problems for you,\n",
      "please provide us feedback at https://github.com/pandas-dev/pandas/issues/54466\n",
      "        \n",
      "  import pandas as pd\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x1f3af9efdd0>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1058.88x1000 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "\n",
    "df = pd.DataFrame(iris_data.data, columns=iris_data.feature_names)\n",
    "df[\"class\"] = pd.Series(iris_data.target)\n",
    "\n",
    "sns.pairplot(df, hue=\"class\", palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-adult",
   "metadata": {},
   "source": [
    "From the plots, we see that class `0` is easily separable from the other two classes, while classes `1` and `2` are sometimes intertwined, especially regarding the \"sepal width\" feature.\n",
    "\n",
    "Next, let's see how classical machine learning handles this dataset. \n",
    "\n",
    "## 2. Training a Classical Machine Learning Model\n",
    "\n",
    "Before we train a model, we should split the dataset into two parts: a training dataset and a test dataset. We'll use the former to train the model and the latter to verify how well our models perform on unseen data.\n",
    "\n",
    "As usual, we'll ask scikit-learn to do the boring job for us. We'll also fix the seed to ensure the results are reproducible."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "pursuant-survival",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from qiskit_algorithms.utils import algorithm_globals\n",
    "\n",
    "algorithm_globals.random_seed = 123\n",
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "close-festival",
   "metadata": {},
   "source": [
    "We train a classical Support Vector Classifier from scikit-learn. For the sake of simplicity, we don't tweak any parameters and rely on the default values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "proved-reviewer",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.svm import SVC\n",
    "\n",
    "svc = SVC()\n",
    "_ = svc.fit(train_features, train_labels)  # suppress printing the return value"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "earned-destination",
   "metadata": {},
   "source": [
    "Now we check out how well our classical model performs. We will analyze the scores in the conclusion section."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "veterinary-proxy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.99\n",
      "Classical SVC on the test dataset:     0.97\n"
     ]
    }
   ],
   "source": [
    "train_score_c4 = svc.score(train_features, train_labels)\n",
    "test_score_c4 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c4:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "limited-hybrid",
   "metadata": {},
   "source": [
    "As can be seen from the scores, the classical SVC algorithm performs very well. Next up, it's time to look at quantum machine learning models.\n",
    "\n",
    "## 3. Training a Quantum Machine Learning Model\n",
    "\n",
    "As an example of a quantum model, we'll train a variational quantum classifier (VQC). The VQC is the simplest classifier available in Qiskit Machine Learning and is a good starting point for newcomers to quantum machine learning who have a background in classical machine learning.\n",
    "\n",
    "But before we train a model, let's examine what comprises the `VQC` class. Two of its central elements are the feature map and ansatz. What these are will now be explained.\n",
    "\n",
    "Our data is classical, meaning it consists of a set of bits, not qubits. We need a way to encode the data as qubits. This process is crucial if we want to obtain an effective quantum model. We usually refer to this mapping as data encoding, data embedding, or data loading and this is the role of the feature map. While feature mapping is a common ML mechanism, this process of loading data into quantum states does not appear in classical machine learning as that only operates in the classical world.\n",
    "\n",
    "Once the data is loaded, we must immediately apply a parameterized quantum circuit. This circuit is a direct analog to the layers in classical neural networks. It has a set of tunable parameters or weights. The weights are optimized such that they minimize an objective function. This objective function characterizes the distance between the predictions and known labeled data. A parameterized quantum circuit is also called a parameterized trial state, variational form, or ansatz. Perhaps, the latter is the most widely used term.\n",
    "\n",
    "For more information, we direct the reader to the [Quantum Machine Learning Course GitHub](https://github.com/Qiskit/textbook/tree/main/notebooks/quantum-machine-learning#).\n",
    "\n",
    "Our choice of feature map will be the ``ZZFeatureMap``. The ``ZZFeatureMap`` is one of the standard feature maps in the Qiskit circuit library. We pass `num_features` as `feature_dimension`, meaning the feature map will have `num_features` or `4` qubits.\n",
    "\n",
    "We decompose the feature map into its constituent gates to give the reader a flavor of how feature maps may look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "optional-pocket",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Bxa/xKMvV/WD12XJT9x++3A/ay5ueA6vVqvz8fElS+/btnd6Pzwa8Y8aM0c6dO7VgwQKNHTtWqampkqQNGzZo+vTpKiw0plxsLLQtLS3V1VdfrcDAQL388stO17Jx40aHtzlTJc1b5vQh3W53draCmvHbVF0prVrccvV4g+zd2fIP9HQVAOB7XlkjbTlY/7KGPk58zkPXGndqnKyQHnrH8WMH+EnbN62RvxfOueqL51J4lre+ljl2Svrf9+pf1lQfIDW/H7j9lqv05oJcxzdsQYs/kfYdq3+Zq/vBi0KknH0NfzTa281/25ioLyE+oWZOFl/BeQCu4K3ngkfeM8YEr4+r+8HkhDBT9x++3A/ay5ueg7KyMoWHh0uS1q5d6/R+vPDypGVkZWUpJiZGhw4dUp8+fdSvXz+lpKRoyJAh6tq1q0aPHi2p9vi75ysvL9ekSZO0f/9+ffLJJ0pI8PBUuQAAQJKUFO25Y3doK68Md4HWJDZcCvbgzaOe7INqaohpnccGgHM82Rd7w3kAuJDPXqIkJiZqzZo1mjhxooKDg5WTk6Po6GgtWbJEK1as0O7duyXVH/CePXtWN9xwgzZu3KgPP/xQvXv3dnf5AACgAZ08GC504gU94HEWi2f7AW8IOD3ZF9EPAvAGHn096AXnAeBCPjtEg2RMirZ8+fI6j5eWlionJ0d+fn7q27dvrWVWq1XTpk3T559/rg8++EBDhgxxV7kukdh7lGa/1vhMoU0tBwDAm3RtZ3xE+IQHhoMb1Pi8rADcZFAXaXeB+4/brZ3zE5O1pD6JUlCAMaybuw3s4v5jAsCF0jtJ721ufNJJV2jjL/VLcu8xAXv47B28jdm+fbtsNptSUlIUGlr7Fdovf/lLvfHGG7rvvvsUGhqqb775pubr2LEGBroCAABu4+8nDU9x/3E7tJW6xLr/uADqGtBZCvXAmJAjUt1/zPoEt5EGe+ANp54JUmzjk9cDgFu0DZP6emBurAGdpbAg9x8XaEqrDHi3bdsmqf7hGT788ENJ0h//+EdlZGTU+lqxYoVb6wQAAPUb1t24g8KdRqYaHw0H4HmBAUY/4E5RoVK/RPceszEjPNAnjezh3uMBQGM80Sdd6iVv9AEXIuC9QE5Ojmw2W71ft912m5srBQAA9bkoRJpQ/zypLtE1ThrSzX3Ha2mVZys0/5VrdNuCVM14or/mvTBWhwv31Ltu7rFszX5muG5bkKpfPnWxcgq2S5Js//0M5KufPKSCopya78/5/d+naEfO165tSBPGzrXorj/10/qdH0hquC2S9MDzmbrud9F6e82fax677y+XKr9ov6TG2+uNbW3qZ3xhe89vq1ld0de4g8tdpgyRAtz8xlJjEqKkUT3dd7z+SVKvDu47HlpWaz0PPPvuLP3k0S4aO9eiPYe31FqX84D5zwMp8caQPe4yItU7xmEH6kPAC6/lyIuQb3Ys1+0Le+qnC1L00N+uU1nFSUk/npQX/vO2Wt835sIT5aot/9SMJ9J116K+umtRX73xxZ9q1t22b41mPJGusXMtKi0vaUZrAQCOuqyHlOzgkAkny6WS08a/9mrjL00dJvmZ/O7dCUPv1l+zdmnJ/VuV0edqPfHGnfWu99RbMzRh6N16Zd5u3ZQ5T48vu02StGbbW3pxxTyVlpdo16FvtWDpdJ0sOy5J+uHgtzp1uki9u2S4qzkNevIXazS01wRJDbdFkhbds0rDek+ute0NI+fo1Y/nS2q4vd7aVqnxn/GF7T2/rWYV3Mb423SUM/3AxclSHw98FLgp49OkdpGObeNM+8OCpBsu5lMMZtcazwOXpt2gJ3+xVu3bdq6zHucB858HJOm6wVJEsGPbONMPxoRLk9IdOw7gTq0y4F25cqVsNpsmTpzo6VLQBHtehJSfKdWf3rhDD932rv42L1sxkR30j8/+IEl67dPf69/rnpXVWqWVm1/XM+/ea9dxzz9Rxl2UpMfu/EgvPvC9/vzLdVr+9XPaune1JKlf10u15P4tLdJWAIBj/PykacMde1H/xEfSQ+8Y/9pryhApzsEAxdsEtgnW0F4TZPlvOtOr0zAdKc6ps15x6VHtzt2oMQN/Ikm6tN/1OlZySIcL92hk2g0amXaDPt7wst7/+jndP+UlRYYZt7Gs+GaJRg+4RZJUWl6iqY8k6rr5MZrxRLpuf7yXJvw6SH9qIEhwxKGjuzT1kUTlH98nSXpj9SI9+OI4Wa1Wh9rSkKG9JmrDrg9VVn6iwfae31Zvaq+9P+P62mpmqfHS2D6ObeNoP5BwkXTtYMdrc4fAAOnWS4wJ1+zlaPv9LNK0DCkixLka4R1a43lAktK6jlRclP1jq3AeMJ+wIGn6JcYcDfZytB8M9DeOEdTGuRoBd2iVAS/Mwd4T1Lc/fKjuHQaoUzvjM2qTh/9Cq7YslSRNv2K+/Cx++nzzP7Qv/zvde+0zslqtevDFcXpj9SJJUl7hXk19JFGHju6qt46+yZcoOjJekhQWcpGS2vVUQVHdOgAA7hcbIf18tBTuoskurh8sDenqmn170jtrn1JGn6vrPH6s5JCiIxPk72+kRRaLRe3adtLRkoNas+1tffndm7ri4p9pUsbP9eSbd9fcubV172r17DRUkhQeEqXR6bfouhG/0pL7t+jnk/+snp2Hac6Ul5pdd1K7Hrpr4uP6w2s3auve1Xrvq2c1b+rf5edX9yVtY21pSIB/GyXH99O2/WsabO/5bfWm9l6ooZ9xfW01uwn9XTcOY7tI6Z7LPTOhm70So6W7Mx0Lee3lZzFCjd5eePcymqc1nAecwXnAnFLjpdtGOBby2ivQX7pzFBPtwvu54GUA4BoNnaCOlhys9ZGb9m27qOhkvqqrq7R05WMKD22rywdMU3J8Pz3779n65dVP6de3vKaZT12s1KTBWvL+HN018XEltWv6yuDAkR3aceBrzb7u+RZtGwDAeR3aSvdeIb38hXTkZMvsMzBAunGIZ2apd7XXP39UeYV7tHDG5w5tN6Lvtbq033V69ZOH1CNpiEamTal5E7bwRK7ahrevWXdP3hZdO2KWJCk79z/q3mFAvfuc9XSGDhdm17vsufs2q11UUp3HRw+Yqq17V+nBF6/UwhmfKyo8zqF2NKVtRLyOncjVVcNm1NveC9sqeV977f0Zn2ur2Vks0rWDpPBg6aPvJGvTI3LZpVs76WeXGvv1dt3aSb8cI/31S6n4dMvsMzTQ+JSENw5NgebhPNA4zgPm1C9JunuU9Pd1UumZltnnRSHSbZdKyS37Kwa4BAEvTMHZFyHTxvw/WSwWLTy0UZcPnFbzUZqLwmI1b+prmrskU1cMvk2jB0xtcl/HSnL1u1eu1uzrnnfoYz4AANdrHyk9MMEId1bulOwYcr1B3dsb43rGhLdcfd7ijdWLtPb7t7Xw7s8UHBhaZ3lcVFLNm6T+/gGy2Ww6WnxQ7aI61VzE33rFQ3W2CwoMVWVVRc33+/K2qHtH4+I2O/c/yugzuc42krT4XscnqKmurlJOwfeKCI1W4YnDDa7XWFsaU1lVoaA2IQ2298K2St7R3nOa+hmf71xbfYHFYky61jNBWvq1lN+MTxwH+ktXDTAm0zHT2NudYqR5V0nvbZK+angkErv0SzSGp4n0jV8PnKc1nQecxXnAvHokSL++Snpzg7Sl4Q/s2GVIV+maQd79CQ7gfAzRAK937gT16J0f1nuCahfVSUeKD9R8f6Q4p+ZjRedOylk3vyJJNd9L0p68zYoMjVHhicNNTr5WeCJP814Yo2mX/z9d1n9KC7QKANDS2vhLkwZIc8YZd946+jG95Fjjo8i/uNw3w903v3hCq7Ys1YK7PlV4SFS967QNb6fuHQfqs02vSTImmImNSlTH2O6N7js5IU25/x3qqPDEYcliUexFxm1/+wq+U3J8vxZrx0sf/FqJcT30xC/W6IXlDzQ4pq6zbTl4dKe6JjQ8Ee/5bZW8p72SfT/j8zXVVjPqFCPNGW8MrxJ/kWPbBreRLu0hZU00hnwwU7h7TnAb6cah0qyxUlqS423oES/deZl0+0jCXV/U2s4DzuI8YG7hwcZdtzMyjTf9HGGxSH0TjU9E3JJBuAtz4Q5eeLWaE9TdnzV4grq4xzg9884vdfDoD+rUrqfe++ovGtX/5kb3m527SW9+sUjP/Wqz/vTGHVq2eqFuzpxX77rHT+Yr64XLdWPmPF0x+KfNbRIAwMUSo6WfDJeuGShtzJFyjkm5RVJhae31QgOlpGhj/QGdjX991bGSXC1ZPkcJ0V31wPOZkqTAgCA9PWu9JOlPb9ypjN6TNbzPZP3q+iV6fNltWrryUYUGR2rujX9tcv8j+92gjbs/1sDUMdpzeHOtj6aGB0fpva//0iJjEX6zY7k27vpIT8/6VsGBoZox6Qk98tqNeuqXXymwTd3P0TvaloKiHFmt1erWoeGL3fPbKslj7b1QUz/jC9nTVrMK8DeC2hGp0t6j0rZc6dBx6XCxdKbqx/UsFuPu/8RoY4iDgZ19ZwKdru2Mr5LT0sb90sHjxnNw4fANEcFGP5gUIw3sYjwf8E2t9Tzw5zdnaP0PK1R0qkAPvnSlQoMi9LdfNxyQch7wHb06GF/HTkn/yTH6wENF0sny2utFhRrngc4x0qAuUrQPvsmP1sFia+rWRXjEmSpp3jJPV2G/BTc1b2KH6kpp1eLajx0rydUt/5ukhOiuCgmKkPTjCeqVj3+nmMgOmpRxjyTpq+3v6aUVWaq2VqlLfF9l3fQ3hYXUf9tGWcVJ/fKpwZp9/fMa0H20TpYd18zFQ5R186vqm3yJxs616J3fF9cEyk+8cZdWbX5dHWJTavZx7aWzNe7in9V8f+E2kpQ5S/LnHT8A8BpnzkoVZ43xOQMDjIDXYsI79BpS37nUXcrPlGr2M8P11L1fKyQwzDNFqP7zcWMW/vM2de+Yrusu/ZUk4y6pDjHdNWFowzOfm7WtUu322tNWX3stY7VJZWekqmrJz08KaWP0Ba1JeeW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",
      "text/plain": [
       "<Figure size 1792.5x785.944 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import ZZFeatureMap\n",
    "\n",
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = ZZFeatureMap(feature_dimension=num_features, reps=1)\n",
    "feature_map.decompose().draw(output=\"mpl\", style=\"clifford\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "noticed-airport",
   "metadata": {},
   "source": [
    "If you look closely at the feature map diagram, you will notice parameters `x[0], ..., x[3]`. These are placeholders for our features.\n",
    "\n",
    "Now we create and plot our ansatz. Pay attention to the repetitive structure of the ansatz circuit. We define the number of these repetitions using the `reps` parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "elder-interaction",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1040x367.889 with 1 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit.circuit.library import RealAmplitudes\n",
    "\n",
    "ansatz = RealAmplitudes(num_qubits=num_features, reps=3)\n",
    "ansatz.decompose().draw(output=\"mpl\", style=\"clifford\", fold=20)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "comic-bumper",
   "metadata": {},
   "source": [
    "This circuit has 16 parameters named `θ[0], ..., θ[15]`. These are the trainable weights of the classifier.\n",
    "\n",
    "We then choose an optimization algorithm to use in the training process. This step is similar to what you may find in classical deep learning frameworks. To make the training process faster, we choose a gradient-free optimizer. You may explore other optimizers available in Qiskit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "intimate-doubt",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit_algorithms.optimizers import COBYLA\n",
    "\n",
    "optimizer = COBYLA(maxiter=100)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "integral-compound",
   "metadata": {},
   "source": [
    "In the next step, we define where to train our classifier. We can train on a simulator or a real quantum computer. Here, we will use a simulator. We create an instance of the `Sampler` primitive. This is the reference implementation that is statevector based. Using qiskit runtime services you can create a sampler that is backed by a quantum computer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "unauthorized-footwear",
   "metadata": {},
   "outputs": [],
   "source": [
    "from qiskit.primitives import Sampler\n",
    "\n",
    "sampler = Sampler()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "seeing-charles",
   "metadata": {},
   "source": [
    "We will add a callback function called `callback_graph`. `VQC` will call this function for each evaluation of the objective function with two parameters: the current weights and the value of the objective function at those weights. Our callback will append the value of the objective function to an array so we can plot the iteration versus the objective function value. The callback will update the plot at each iteration. Note that you can do whatever you want inside a callback function, so long as it has the two-parameter signature we mentioned above."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "connected-reach",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "from IPython.display import clear_output\n",
    "\n",
    "objective_func_vals = []\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "def callback_graph(weights, obj_func_eval):\n",
    "    clear_output(wait=True)\n",
    "    objective_func_vals.append(obj_func_eval)\n",
    "    plt.title(\"Objective function value against iteration\")\n",
    "    plt.xlabel(\"Iteration\")\n",
    "    plt.ylabel(\"Objective function value\")\n",
    "    plt.plot(range(len(objective_func_vals)), objective_func_vals)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "freelance-wesley",
   "metadata": {},
   "source": [
    "Now we are ready to construct the classifier and fit it. \n",
    "\n",
    "`VQC` stands for \"variational quantum classifier.\" It takes a feature map and an ansatz and constructs a quantum neural network automatically. In the simplest case it is enough to pass the number of qubits and a quantum instance to construct a valid classifier. You may omit the `sampler` parameter, in this case a `Sampler` instance will be created for you in the way we created it earlier. We created it manually for illustrative purposes only.\n",
    "\n",
    "Training may take some time. Please, be patient."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "multiple-garbage",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 156 seconds\n"
     ]
    }
   ],
   "source": [
    "import time\n",
    "from qiskit_machine_learning.algorithms.classifiers import VQC\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "laughing-regulation",
   "metadata": {},
   "source": [
    "Let's see how the quantum model performs on the real-life dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "formed-mineral",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset: 0.85\n",
      "Quantum VQC on the test dataset:     0.87\n"
     ]
    }
   ],
   "source": [
    "train_score_q4 = vqc.score(train_features, train_labels)\n",
    "test_score_q4 = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset: {train_score_q4:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset:     {test_score_q4:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "minimal-deviation",
   "metadata": {},
   "source": [
    "As we can see, the scores are high, and the model can be used to predict labels on unseen data.\n",
    "\n",
    "Now let's see what we can tune to get even better models.\n",
    "\n",
    "- The key components are the feature map and the ansatz. You can tweak parameters. In our case, you may change the `reps` parameter that specifies how repetitions of a gate pattern we add to the circuit. Larger values lead to more entanglement operations and more parameters. Thus, the model can be more flexible, but the higher number of parameters also adds complexity, and training such a model usually takes more time. Furthermore, we may end up overfitting the model. You can try the other feature maps and ansatzes available in the [Qiskit circuit library](https://docs.quantum.ibm.com/api/qiskit/circuit_library#n-local-circuits), or you can come up with custom circuits.\n",
    "- You may try other optimizers. Qiskit contains a bunch of them. Some of them are gradient-free, others not. If you choose a gradient-based optimizer, e.g., `L_BFGS_B`, expect the training time to increase. Additionally to the objective function, these optimizers must evaluate the gradient with respect to the training parameters, which leads to an increased number of circuit executions per iteration.\n",
    "- Another option is to randomly (or deterministically) sample `initial_point` and fit the model several times.\n",
    "\n",
    "But what if a dataset contains more features than a modern quantum computer can handle? Recall, in this example, we had the same number of qubits as the number of features in the dataset, but this may not always be the case.\n",
    "\n",
    "## 4. Reducing the Number of Features\n",
    "\n",
    "In this section, we reduce the number of features in our dataset and train our models again. We'll move through faster this time as the steps are the same except for the first, where we apply a PCA transformation. \n",
    "\n",
    "We transform our four features into two features only. This dimensionality reduction is for educational purposes only. As you saw in the previous section, we can train a quantum model using all four features from the dataset.\n",
    "\n",
    "Now, we can easily plot these two features on a single figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "painted-montreal",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 600x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from sklearn.decomposition import PCA\n",
    "\n",
    "features = PCA(n_components=2).fit_transform(features)\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (6, 6)\n",
    "sns.scatterplot(x=features[:, 0], y=features[:, 1], hue=labels, palette=\"tab10\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "modular-hometown",
   "metadata": {},
   "source": [
    "As usual, we split the dataset first, then fit a classical model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "naval-agriculture",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classical SVC on the training dataset: 0.97\n",
      "Classical SVC on the test dataset:     0.90\n"
     ]
    }
   ],
   "source": [
    "train_features, test_features, train_labels, test_labels = train_test_split(\n",
    "    features, labels, train_size=0.8, random_state=algorithm_globals.random_seed\n",
    ")\n",
    "\n",
    "svc.fit(train_features, train_labels)\n",
    "\n",
    "train_score_c2 = svc.score(train_features, train_labels)\n",
    "test_score_c2 = svc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Classical SVC on the training dataset: {train_score_c2:.2f}\")\n",
    "print(f\"Classical SVC on the test dataset:     {test_score_c2:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "chemical-subcommittee",
   "metadata": {},
   "source": [
    "The results are still good but slightly worse compared to the initial version. Let's see how a quantum model deals with them. As we now have two qubits, we must recreate the feature map and ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "electric-novel",
   "metadata": {},
   "outputs": [],
   "source": [
    "num_features = features.shape[1]\n",
    "\n",
    "feature_map = ZZFeatureMap(feature_dimension=num_features, reps=1)\n",
    "ansatz = RealAmplitudes(num_qubits=num_features, reps=3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "competent-johnston",
   "metadata": {},
   "source": [
    "We also reduce the maximum number of iterations we run the optimization process for, as we expect it to converge faster because we now have fewer qubits."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "younger-louisiana",
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = COBYLA(maxiter=40)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "proprietary-cookbook",
   "metadata": {},
   "source": [
    "Now we construct a quantum classifier from the new parameters and train it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "varied-capital",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 33 seconds\n"
     ]
    }
   ],
   "source": [
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "# make the objective function plot look nicer.\n",
    "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
    "\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "developmental-crazy",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using RealAmplitudes: 0.58\n",
      "Quantum VQC on the test dataset using RealAmplitudes:     0.63\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_ra = vqc.score(train_features, train_labels)\n",
    "test_score_q2_ra = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using RealAmplitudes: {train_score_q2_ra:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using RealAmplitudes:     {test_score_q2_ra:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quarterly-singing",
   "metadata": {},
   "source": [
    "Well, the scores are higher than a fair coin toss but could be better. The objective function is almost flat towards the end, meaning increasing the number of iterations won't help, and model performance will stay the same. Let's see what we can do with another ansatz."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "convinced-seven",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training time: 40 seconds\n"
     ]
    }
   ],
   "source": [
    "from qiskit.circuit.library import EfficientSU2\n",
    "\n",
    "ansatz = EfficientSU2(num_qubits=num_features, reps=3)\n",
    "optimizer = COBYLA(maxiter=40)\n",
    "\n",
    "vqc = VQC(\n",
    "    sampler=sampler,\n",
    "    feature_map=feature_map,\n",
    "    ansatz=ansatz,\n",
    "    optimizer=optimizer,\n",
    "    callback=callback_graph,\n",
    ")\n",
    "\n",
    "# clear objective value history\n",
    "objective_func_vals = []\n",
    "\n",
    "start = time.time()\n",
    "vqc.fit(train_features, train_labels)\n",
    "elapsed = time.time() - start\n",
    "\n",
    "print(f\"Training time: {round(elapsed)} seconds\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "painted-reverse",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Quantum VQC on the training dataset using EfficientSU2: 0.71\n",
      "Quantum VQC on the test dataset using EfficientSU2:     0.67\n"
     ]
    }
   ],
   "source": [
    "train_score_q2_eff = vqc.score(train_features, train_labels)\n",
    "test_score_q2_eff = vqc.score(test_features, test_labels)\n",
    "\n",
    "print(f\"Quantum VQC on the training dataset using EfficientSU2: {train_score_q2_eff:.2f}\")\n",
    "print(f\"Quantum VQC on the test dataset using EfficientSU2:     {test_score_q2_eff:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "alike-norway",
   "metadata": {},
   "source": [
    "The scores are better than in the previous setup. Perhaps if we had used more iterations, we could do even better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fluid-truck",
   "metadata": {},
   "source": [
    "## 5. Conclusion\n",
    "\n",
    "In this tutorial, we have built two classical and three quantum machine learning models. Let's print an overall table with our results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "educated-snake",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model                           | Test Score | Train Score\n",
      "SVC, 4 features                 |       0.99 |       0.97\n",
      "VQC, 4 features, RealAmplitudes |       0.85 |       0.87\n",
      "----------------------------------------------------------\n",
      "SVC, 2 features                 |       0.97 |       0.90\n",
      "VQC, 2 features, RealAmplitudes |       0.58 |       0.63\n",
      "VQC, 2 features, EfficientSU2   |       0.71 |       0.67\n"
     ]
    }
   ],
   "source": [
    "print(f\"Model                           | Test Score | Train Score\")\n",
    "print(f\"SVC, 4 features                 | {train_score_c4:10.2f} | {test_score_c4:10.2f}\")\n",
    "print(f\"VQC, 4 features, RealAmplitudes | {train_score_q4:10.2f} | {test_score_q4:10.2f}\")\n",
    "print(f\"----------------------------------------------------------\")\n",
    "print(f\"SVC, 2 features                 | {train_score_c2:10.2f} | {test_score_c2:10.2f}\")\n",
    "print(f\"VQC, 2 features, RealAmplitudes | {train_score_q2_ra:10.2f} | {test_score_q2_ra:10.2f}\")\n",
    "print(f\"VQC, 2 features, EfficientSU2   | {train_score_q2_eff:10.2f} | {test_score_q2_eff:10.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "moderate-nashville",
   "metadata": {},
   "source": [
    "Unsurprisingly, the classical models perform better than their quantum counterparts, but classical ML has come a long way, and quantum ML has yet to reach that level of maturity. As we can see,  we achieved the best results using a classical support vector machine. But the quantum model trained on four features was also quite good. When we reduced the number of features, the performance of all models went down as expected. So, if resources permit training a model on a full-featured dataset without any reduction, you should train such a model. If not, you may expect to compromise between dataset size, training time, and score.\n",
    "\n",
    "Another observation is that even a simple ansatz change can lead to better results. The two-feature model with the `EfficientSU2` ansatz performs better than the one with `RealAmplitudes`. That means the choice of hyperparameters plays the same critical role in quantum ML as in classical ML, and searching for optimal hyperparameters may take a long time. You may apply the same techniques we use in classical ML, such as random/grid or more sophisticated approaches.\n",
    "\n",
    "We hope this brief tutorial helps you to take the leap from classical to quantum ML."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "median-psychology",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<h3>Version Information</h3><table><tr><th>Software</th><th>Version</th></tr><tr><td><code>qiskit</code></td><td>0.45.2</td></tr><tr><td><code>qiskit_machine_learning</code></td><td>0.7.1</td></tr><tr><td><code>qiskit_algorithms</code></td><td>0.2.2</td></tr><tr><th colspan='2'>System information</th></tr><tr><td>Python version</td><td>3.10.13</td></tr><tr><td>Python compiler</td><td>GCC 9.4.0</td></tr><tr><td>Python build</td><td>main, Jan 10 2024 19:45:45</td></tr><tr><td>OS</td><td>Linux</td></tr><tr><td>CPUs</td><td>1</td></tr><tr><td>Memory (Gb)</td><td>7.744113922119141</td></tr><tr><td colspan='2'>Wed Jan 24 06:47:16 2024 UTC</td></tr></table>"
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div style='width: 100%; background-color:#d5d9e0;padding-left: 10px; padding-bottom: 10px; padding-right: 10px; padding-top: 5px'><h3>This code is a part of Qiskit</h3><p>&copy; Copyright IBM 2017, 2024.</p><p>This code is licensed under the Apache License, Version 2.0. You may<br>obtain a copy of this license in the LICENSE.txt file in the root directory<br> of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.<p>Any modifications or derivative works of this code must retain this<br>copyright notice, and modified files need to carry a notice indicating<br>that they have been altered from the originals.</p></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import tutorial_magics\n",
    "\n",
    "%qiskit_version_table\n",
    "%qiskit_copyright"
   ]
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
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    "name": "ipython",
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