Colab_25_Quantum_Convolutional_Neural_Network.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4",
      "authorship_tag": "ABX9TyOC7Vf0b1ILxB7d4s3nzoyE",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/EmmanueleVilla/quantum_computing/blob/main/Colab_25_Quantum_Convolutional_Neural_Network.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install qiskit --quiet && pip install pylatexenc --quiet && pip install qiskit-machine-learning --quiet"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DCJKDdEUb8f2",
        "outputId": "47701c8e-6127-482d-97ca-84ea5dace83d"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "  Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.1/6.1 MB\u001b[0m \u001b[31m44.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.0/2.0 MB\u001b[0m \u001b[31m90.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.6/49.6 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m115.3/115.3 kB\u001b[0m \u001b[31m14.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.6/49.6 kB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m37.5/37.5 MB\u001b[0m \u001b[31m17.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m112.7/112.7 kB\u001b[0m \u001b[31m13.0 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Building wheel for qiskit (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m162.6/162.6 kB\u001b[0m \u001b[31m3.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for pylatexenc (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m148.7/148.7 kB\u001b[0m \u001b[31m2.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m133.4/133.4 kB\u001b[0m \u001b[31m8.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for fastdtw (setup.py) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Rete convoluzionale classica"
      ],
      "metadata": {
        "id": "MVw_awkDchKD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import tensorflow as tf\n",
        "\n",
        "from tensorflow.keras import datasets, layers, models\n",
        "import matplotlib.pyplot as plt"
      ],
      "metadata": {
        "id": "PaHjJ8bukrEj"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "(train_images, train_labels), (test_images, test_labels) = datasets.cifar10.load_data()\n",
        "\n",
        "# Normalizzo i valori tra 0 e 1 dividendo il colore per 255\n",
        "train_images, test_images = train_images / 255.0, test_images / 255.0"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5O27spMtksCz",
        "outputId": "ee34bbf7-b70c-4887-a755-28658b5e5e20"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Downloading data from https://www.cs.toronto.edu/~kriz/cifar-10-python.tar.gz\n",
            "170498071/170498071 [==============================] - 2s 0us/step\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualizzo i dati\n",
        "\n",
        "class_names = ['airplane', 'automobile', 'bird', 'cat', 'deer',\n",
        "               'dog', 'frog', 'horse', 'ship', 'truck']\n",
        "\n",
        "plt.figure(figsize=(10,10))\n",
        "for i in range(25):\n",
        "    plt.subplot(5,5,i+1)\n",
        "    plt.xticks([])\n",
        "    plt.yticks([])\n",
        "    plt.grid(False)\n",
        "    plt.imshow(train_images[i])\n",
        "    plt.xlabel(class_names[train_labels[i][0]])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 826
        },
        "id": "p_MWkrYZksFj",
        "outputId": "7d39d0eb-eabd-4775-ad86-4132238742bf"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 25 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creo il modello\n",
        "model = models.Sequential()\n",
        "# Layer conv + pooling\n",
        "model.add(layers.Conv2D(32, (3, 3), activation='relu', input_shape=(32, 32, 3)))\n",
        "model.add(layers.MaxPooling2D((2, 2)))\n",
        "# Layer conv + pooling\n",
        "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
        "model.add(layers.MaxPooling2D((2, 2)))\n",
        "# Layer conv\n",
        "model.add(layers.Conv2D(64, (3, 3), activation='relu'))\n",
        "# Trasformo in un unico layer 1d\n",
        "model.add(layers.Flatten())\n",
        "# Rete feed forward\n",
        "model.add(layers.Dense(64, activation='relu'))\n",
        "model.add(layers.Dense(10))\n",
        "model.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "sU10XmBpksIS",
        "outputId": "300c30a2-472a-4f91-9dd6-304e6196ddef"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            " Layer (type)                Output Shape              Param #   \n",
            "=================================================================\n",
            " conv2d (Conv2D)             (None, 30, 30, 32)        896       \n",
            "                                                                 \n",
            " max_pooling2d (MaxPooling2D  (None, 15, 15, 32)       0         \n",
            " )                                                               \n",
            "                                                                 \n",
            " conv2d_1 (Conv2D)           (None, 13, 13, 64)        18496     \n",
            "                                                                 \n",
            " max_pooling2d_1 (MaxPooling  (None, 6, 6, 64)         0         \n",
            " 2D)                                                             \n",
            "                                                                 \n",
            " conv2d_2 (Conv2D)           (None, 4, 4, 64)          36928     \n",
            "                                                                 \n",
            " flatten (Flatten)           (None, 1024)              0         \n",
            "                                                                 \n",
            " dense (Dense)               (None, 64)                65600     \n",
            "                                                                 \n",
            " dense_1 (Dense)             (None, 10)                650       \n",
            "                                                                 \n",
            "=================================================================\n",
            "Total params: 122,570\n",
            "Trainable params: 122,570\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Addestramento\n",
        "model.compile(optimizer='adam',\n",
        "              loss=tf.keras.losses.SparseCategoricalCrossentropy(from_logits=True),\n",
        "              metrics=['accuracy'])\n",
        "\n",
        "history = model.fit(train_images, train_labels, epochs=10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hR8pj3PvksQy",
        "outputId": "519f43ac-a0be-4399-85ca-5d48cd71f921"
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "1563/1563 [==============================] - 9s 4ms/step - loss: 0.9968 - accuracy: 0.6480\n",
            "Epoch 2/10\n",
            "1563/1563 [==============================] - 10s 6ms/step - loss: 0.9155 - accuracy: 0.6775\n",
            "Epoch 3/10\n",
            "1563/1563 [==============================] - 8s 5ms/step - loss: 0.8535 - accuracy: 0.6986\n",
            "Epoch 4/10\n",
            "1563/1563 [==============================] - 7s 4ms/step - loss: 0.7986 - accuracy: 0.7187\n",
            "Epoch 5/10\n",
            "1563/1563 [==============================] - 8s 5ms/step - loss: 0.7495 - accuracy: 0.7359\n",
            "Epoch 6/10\n",
            "1563/1563 [==============================] - 7s 4ms/step - loss: 0.7112 - accuracy: 0.7500\n",
            "Epoch 7/10\n",
            "1563/1563 [==============================] - 8s 5ms/step - loss: 0.6789 - accuracy: 0.7597\n",
            "Epoch 8/10\n",
            "1563/1563 [==============================] - 7s 4ms/step - loss: 0.6427 - accuracy: 0.7732\n",
            "Epoch 9/10\n",
            "1563/1563 [==============================] - 8s 5ms/step - loss: 0.6105 - accuracy: 0.7853\n",
            "Epoch 10/10\n",
            "1563/1563 [==============================] - 7s 4ms/step - loss: 0.5762 - accuracy: 0.7966\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.plot(history.history['accuracy'], label='accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.ylabel('Accuracy')\n",
        "plt.ylim([0.5, 1])\n",
        "plt.legend(loc='lower right')\n",
        "\n",
        "test_loss, test_acc = model.evaluate(test_images,  test_labels, verbose=2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "cc7yhCfhl1bJ",
        "outputId": "8eaa000d-4e60-46f9-d554-871f202bc301"
      },
      "execution_count": 9,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "313/313 - 1s - loss: 0.9619 - accuracy: 0.6865 - 829ms/epoch - 3ms/step\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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dJzg4WEuXLr3oogAAaA7uBt/jxR4zMvvyz93g26l9UG2ICVWP2hmZxMhgeXtxSqmlaHC4ycvLU25urtLS0jzGN2zYIG9vb6WmpjZacQAANJbSimrtstWEl125du2sbfS1l1fXu39YgE/NLExtT0yP2Jr7KIX4s/5tS9fgb2jy5Ml6+OGH64Sbo0eP6plnntGGDRsarTgAABrK4XTpUGGpduUWuwPMLtu5G3x9vCzqXNvgWxNkaPBt7Rocbnbs2FHvWjYDBgzQjh07GqUoAAAuRNHpKn1/rMhjzZhdtmKVVznr3T861N99KokGX/NqcLjx9/eXzWZT586dPcaPHz8uHx+m6gAATeNUWaW2HS3S9qN2bT9apG1Hi5Rzov7ZmABfL3W3htY2+Z49tdQa7miNS9fgNDJixAhNnz5dH330kcLDwyVJp06d0qOPPqprr7220QsEALQ9J0rPBJkid5A5cvJ0vft2bBeoXrFhHjMyNPi2bQ0ON3/84x/185//XImJiRowYIAkKSsrS1arVa+99lqjFwgAMLeCkgptO1qk72tDzPajdh09VX+QSYwMUp/4cPWND1efuHD1iQ9TRBCzMfDU4HATHx+v7777Tm+88Ya2bt2qwMBATZo0SePHj693zRsAAM7IKy6vmYk5Ytf2YzWzMseLyuvdNzkquDbIhKlPXLh6x4crPJDfGfy0i2qSCQ4O1j333NPYtQAATMRmL9e2I0VnTy8dK6p3ETyLpSbI9K2dkekdF67e8WEKCyDI4OJcdAfwjh07lJOTo8rKSo/x//iP/7jkogAArceZhfC2HTnbH7P9mF35xfUHmS4dQmpOK9WGmV5xYawdg0Z1USsUjxkzRtu2bZPFYtGZm4qfWQvA4aj//hoAgNbP5XLpWJFnkPn+WJEKSirr7OtlkbpGh7hDTN/4cPWMDVMwQQZNrMH/hj344INKTk5WZmamkpOTtXHjRhUWFuq///u/9cc//rEpagQAGMDlcunIydPuEFMTZOw6UVo3yHh7WdTtB0GmT3y4esWGKdCP9WPQ/BocbtavX69PP/1UUVFR8vLykpeXl6688krNnTtXDzzwgL799tumqBMA0IRcLpdyTpRp+1G7R4/MqbKqOvv6eFl0mTVUfeLD3EGmZ2yYAnwJMmgZGhxuHA6HQkNDJUlRUVE6duyYunfvrsTERO3atavRCwQANK7SimodKizT3vySH1x+XVTvPZZ8vS3qHhNae9l1zaxM95hQggxatAaHmz59+mjr1q1KTk5WWlqann32Wfn5+emVV16ps2oxAMAYZZXVOlhQpkOFpTpQWKqDBaU6WFimgwWlyqun0VeS/Ly91CM2VL3jzvbIXBYTwq0J0Oo0ONzMmDFDpaWlkqQnn3xSN954o372s58pMjJSK1asaPQCAQD1K6usmYE5WFATYA4VlNX8WVha7yXXP9QuyFdJUcHqHRfmnpW5zBoqPx+vZqoeaDoW15nLnS7BiRMn1K5du1Zx91S73a7w8HAVFRUpLCzM6HIA4LxOVzp0sDawHCgoq52BqXn8VICJCPJVUmSwkqOClRgZpOSoYCVF1jzCg1hDBq1LQ36/GzRzU1VVpcDAQGVlZalPnz7u8fbt219cpQAAna506NCJmlNHB86cSioo1aHCMuXa61+994wzASYpMkhJZ8JLVM1zbkuAtqpB4cbX11edOnViLRsAaKCzAaasZublzAxMwU8HmPDAmlNIyZFBSqydiSHAAOfW4J6bxx57TI8++qhee+01ZmwA4AfKqxw6VFimA7XB5YczMOe6f9IZZwJMUmRQnVNJBBigYRocbhYsWKC9e/cqLi5OiYmJCg4O9ti+ZcuWRisOAFqaKodT+/NL68y+HCws/ckAExbg84NZl2AlRZ0NMgQYoPE0ONyMHj26CcoAgJbH6XTpYGGpth45pa2Hi7T1yCntOGZXRbXznMf8MMDUnEIKcjfxtgsmwADNoVGulmpNuFoKwLnkFpXXBplT+u5ITZgprmdhu1B/H3XuUBNe3KeSooKVHBmsiCDfVnHlKNDaNNnVUgBgFkVlVfruaE2Q2XqkSN8dOVXvpdX+Pl7qEx+ufh3D1T8hQv06RigpMogAA7RgDQ43Xl5e5/2PmiupALQ05VUOfX+syH1q6bsjRTpQUFpnvzM3fzwTYlISaha28/VmYTugNWlwuPnggw88nldVVenbb7/VX//6Vz3xxBONVhgAXIxqh1N78krcMzJbD5/Sbluxqp11z8AnRgbVhJiO4UpJiFDvuDAF+TGhDbR2jdZzs3z5cq1YsUIfffRRY7xck6HnBjCPM3eyPhNivjtyStuP2nW6qu4MclSIv/onhCulY4T6JUSoX3w4Db5AK2JIz83ll1+ue+65p7FeDgDqyCsu13e1p5bO9MmcKquqs1+Iv4/6dQxXv44R6p9Q82dseAB9MkAb0Sjh5vTp0/rzn/+s+Pj4xng5AFBxeZW2HSnymJU5Vs86Mn7eXuoZF6b+tWEmJSFCnaOC5eVFkAHaqgaHmx/fINPlcqm4uFhBQUF6/fXXG7U4AG1DRbVDO48X1/bJ1FzBtL+gVD8+aW6xSN2iQ9whJqVjuHrEhHEnawAeGhxuXnjhBY9w4+XlpQ4dOigtLU3t2rVr1OIAmI/D6dK+/BJ3kPnuSJF2HrerylG3/S8+IrD2yqWaht8+8eEK8afhF8D5Nfj/EnfccUcTlAHArE5XOrT50Emt31+gbw6e1PajRSqtrNvw2z7YrybE1F6C3a9jhKJC/A2oGEBr1+Bws3TpUoWEhOjXv/61x/g777yjsrIyTZw4sdGKA9D6lFc5tCXnpL7ef0Jf7yvUt4dP1pmVCfLzVp/4cPcl2CkdI9SxXSANvwAaRYPDzdy5c/Xyyy/XGY+OjtY999xDuAHamMpqp7IOn9L6fYVav79AW3JOqfJH916KDQ9QeudIpXVur/4J7dQ1OkTeNPwCaCINDjc5OTlKTk6uM56YmKicnJxGKQpAy1XlcOq7I0X6en+h1u8r1DeHTqi8yjPMdAj1V3rnSKV3iVR650glcrsCAM2oweEmOjpa3333nZKSkjzGt27dqsjIyMaqC0ALUe1wavsxe+3MTKG+OXhCZT/qmYkM9tPltUEmvUukOkcFE2YAGKbB4Wb8+PF64IEHFBoaqp///OeSpM8//1wPPvigxo0b1+gFAmheDqdLO4+fDTObDpxQcYXnnbEjgnx1eXLtzEyXSHWLDiHMAGgxGhxunnrqKR08eFDXXHONfHxqDnc6nZowYYLmzJnT6AUCaFpOp0vZucVaX3uaaeOBQtnLPcNMWICP0jrXzMxc3jlSPWJCWSQPQIt10feW2rNnj7KyshQYGKi+ffsqMTGxsWtrEtxbCm2dy+XSnrySmpmZfYXacKBQJ390C4MQfx8NSW7vPs3UMzaMBmAAhmqWe0t169ZN3bp1u9jDATQTl8ul/QWl7tNMG/YXqqCk0mOfID9vDU5qr8trw0yfuDD5eLPqL4DWqcHh5uabb9aQIUP0yCOPeIw/++yz2rRpk955551GKw5Aw7lcLh0qLHOfZvp6f6Hyiis89gnw9VJqYnuld6k5zdSvY7h8CTMATKLB4eaLL77Q448/Xmf8+uuv1/PPP98YNQFooMMnasLM17WzM8d/dINJPx8vDewUofTOUUrvEqmUhHD5+3gbVC0ANK0Gh5uSkhL5+fnVGff19ZXdbm+UogCc37FTp92nmb7eX6gjJ097bPf1tmhAQjv35dkDOkUowJcwA6BtaHC46du3r1asWKFZs2Z5jL/11lvq1atXoxUG4Kw8e7n7NNP6/YU6VFjmsd3Hy6J+HcNrF82L0qDEdgr0I8wAaJsaHG5mzpypm266Sfv27dOwYcMkSZmZmVq+fLnefffdRi8QaIuqHU59e/iUMnfm6dNsm3bbSjy2e1mkvh0j3FczpSa2UzB3ywYASRcRbkaNGqUPP/xQc+bM0bvvvqvAwEClpKTo008/Vfv27ZuiRqBNKCqr0me78/Rpdp4+25WvotNnL8+2WKQ+ceG6vHNNE/DgpPYKDfA1sFoAaLkuep2bM+x2u958800tXrxYmzdvlsPh+OmDDMQ6N2gpXC6X9uWXKHNnnjKz87T50Ek5nGf/c4wI8tVVl3XQsJ5W/bxblCKC6va6AUBb0Szr3HzxxRdavHix3nvvPcXFxemmm27SwoULL/blgDahotqhDftP6NPsPGVm23T4hGcjcHdrqIb1jNY1PaLVPyGCtWYA4CI0KNzk5uZq2bJlWrx4sex2u2655RZVVFToww8/pJkYOIe84nJ9lp2vzGyb/r2nwOOmk34+XkrvHKlrekbr6u7RSmgfZGClAGAOFxxuRo0apS+++EK//OUvNX/+fF133XXy9vbWokWLmrI+oNVxOl36/phdmdk2fZqdp++OFHlsjw711zU9ozWsh1VDu0YqyI9GYABoTBf8f9V//vOfeuCBB3Tfffdx2wXgR0orqrVub4E+za5pCP7xisApHcM1rIdV1/SMVu+4MO6gDQBN6ILDzZdffqnFixdr0KBB6tmzp26//XaNGzeuKWsDWrTDJ8pqe2fy9PW+QlU6nO5twX7e+lm3DhrWM1pXde+g6NAAAysFgLalwVdLlZaWasWKFVqyZIk2btwoh8OhefPm6c4771RoaGhT1dlouFoKF6va4dSWnFO1szN1157p1D5Iw3pE65qe0RqS3J7bGwBAI2rI7/clXQq+a9cuLV68WK+99ppOnTqla6+9VitXrrzYl2sWhBs0xKmySn2+O7/etWe8vSxKTWzn7p/p0iGY000A0ESaLdyc4XA49Pe//11Lliwh3KBVc7lc2ptXosza3pnzrT3zi24dFB7EQnoA0ByaPdxcqoULF+q5555Tbm6uUlJS9Je//EVDhgypd9+rrrpKn3/+eZ3xG264QatWrfrJ9yLc4MdYewYAWr5mWcSvsaxYsUIZGRlatGiR0tLSNH/+fI0cOVK7du1SdHR0nf3ff/99VVZWup8XFhYqJSVFv/71r5uzbLRyefZy/d+umtmZ+taeuaJLpIb1YO0ZAGiNDJ+5SUtL0+DBg7VgwQJJktPpVEJCgu6//35NmzbtJ4+fP3++Zs2apePHjys4OPgn92fmpm1i7RkAaN1azcxNZWWlNm/erOnTp7vHvLy8NHz4cK1fv/6CXmPx4sUaN27cOYNNRUWFKirOrjlit9svrWi0GqUV1fpyb4H+71xrzyREaFj3aNaeAQCTMTTcFBQUyOFwyGq1eoxbrVZlZ2f/5PEbN27U9u3btXjx4nPuM3fuXD3xxBOXXCtah4KSCmXutGnN9zb9e2+BKqtZewYA2ppWPfe+ePFi9e3b95zNx5I0ffp0ZWRkuJ/b7XYlJCQ0R3loJgcLSrVmR67W7rDpm0Mn9cMTraw9AwBtj6HhJioqSt7e3rLZbB7jNptNMTEx5z22tLRUb731lp588snz7ufv7y9/f/9LrhUth8vl0rajRVrzvU1rduTWWUyvX8dwjehl1bW9YnSZNYTTTQDQxhgabvz8/DRo0CBlZmZq9OjRkmoaijMzMzVlypTzHvvOO++ooqJCv/nNb5qhUhitstqpDQcKteZ7m9busCnXXu7e5uNl0eWdIzWit1XDe1oVFxFoYKUAAKMZfloqIyNDEydOVGpqqoYMGaL58+ertLRUkyZNkiRNmDBB8fHxmjt3rsdxixcv1ujRoxUZGWlE2WgGJRXV+nxXvtbsyNWn2XkqLq92bwv289ZV3aN1bS+rru4ezWJ6AAA3w8PN2LFjlZ+fr1mzZik3N1f9+/fX6tWr3U3GOTk58vLyXDRt165d+vLLL7VmzRojSkYTyisu17925GnNjlx9tdfzZpRRIX66tpdVI3rFKL1LpAJ86Z8BANRl+Do3zY11blqe/fklWrPDpjXf5+rbw6c8GoKTo4I1opdVI3pb1T+hnby96J8BgLao1axzg7bJ6XRp65FTWrOjpn9mb55nQ3BKQoRG9LJqZG+runSgIRgA0DCEGzSLymqn1u8v1Jrvay7Z/uGCer7eFqV3idK1vay6tqdVMeGsPwMAuHiEGzQZe3mVPtuVrzXf5+rzXfkqrjjbEBzi76OrunfQiN4xuqp7B4UF0BAMAGgchBs0Kpu9XGt32LRmh03r9xWoynG2gaZDqH9tQ7BV6V0iWVAPANAkCDe4JC6XS/vyS/RJ7fozWYdPeWzv0iFYI3rHaEQvq1I6RsiLhmAAQBMj3KDBnE6Xvj18quaWB9/btL+g1GP7gE4RGtErRtf2sqprdIhBVQIA2irCDS5IeZVD6/cV1t7DKU8FJWcbgv28vXRF10iN6BWj4T2jFR1GQzAAwDiEG5xT0ekqfbYrT2u+t+mzXXkqrXS4t4X6++jqHtEa0duqX1zWQaE0BAMAWgjCDTyUVVbrw2+P6Z/bj2v9vkJVO882BFvD/DWiV4xG9LYqLTlSfj5e53klAACMQbiBJOnIyTL9bf0hvbUxR/Yf3MOpW3SIRvSuueVB3/hwGoIBAC0e4aYNc7lc2nTwpJZ8eUBrduTqzCRNYmSQxg3upJG9rercgYZgAEDrQrhpgyqqHfr71uNauu6Avj9md48P7RqpSVck6+oe0dzDCQDQahFu2pC84nK9/nWOlm84pIKSSkmSv4+XbhoYrzuuSFb3mFCDKwQA4NIRbtqAbUeKtHTdAf39u2PuFYNjwgJ0e3qixg/ppPbBfgZXCABA4yHcmFS1w6lPvrdp6boD+ubQSff4wE4RmjQ0Wdf1iZGvN1c7AQDMh3BjMqfKKvXWpsP621cHdayoXJLk42XRjf1iNWloslISIowtEACAJka4MYk9tmIt/eqg3t9yROVVTklS+2A/3ZbWSb+5PFFWVg0GALQRhJtWzOl06fPd+Vqy7oD+vafAPd4zNkyThibpP1LiFODLnbcBAG0L4aYVKq2o1rubj+ivXx1037TSYpGu7WnVnVcmKy25vSwWLuUGALRNhJtW5PCJMv31q4NasemwiitqVhEODfDR2NQETbwiSQntgwyuEAAA4xFuWjiXy6Wv95/Q0nUH9K+dNvcqwp2jgnXH0CTdPLCjgv35GgEAOINfxRaqvMqhlVuPaem6g9p5/Owqwj/rFqU7hybrF5d14D5PAADUg3DTwtjs5Xr960NaviFHhaU1qwgH+nrrpoHxmjQ0SV2jWUUYAIDzIdy0EFmHT2npugNa9d1xVdeee4oLD9CEK5I0bnCCIoJYRRgAgAtBuDFQlcOp1dtztXTdAW3JOeUeH5zUTpOGJmtEL6t8WEUYAIAGIdwY4GRppZZvzNHrXx/S8dpVhH29LRrVL06Thiarb8dwgysEAKD1Itw0o125xVr21QG9v+WoKqprVhGOCvHTbWmJuu3yTooOZRVhAAAuFeGmiTmdLv3frjwtWXdA6/YWusd7x4XpzqHJujElVv4+rCIMAEBjIdw0keLyKvcqwgcLyyRJXhZpZO8YTRqarMFJ7VhFGACAJkC4aWSHCku17KuDeuebIyqpXUU4LMBH44d00u3pierYjlWEAQBoSoSbRrLjmF3z1u5WZrZNrtpVhLt0CNYdQ5N188B4BfnxjxoAgObAL24jKaus1r922iRJV3XvoElDk/WzrlGsIgwAQDMj3DSSQYnt9D8ju+u6PjHq0iHE6HIAAGizCDeNxGKxaPLVXY0uAwCANo/lbwEAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkQbgAAgKkYHm4WLlyopKQkBQQEKC0tTRs3bjzv/qdOndLkyZMVGxsrf39/XXbZZfr444+bqVoAANDS+Rj55itWrFBGRoYWLVqktLQ0zZ8/XyNHjtSuXbsUHR1dZ//Kykpde+21io6O1rvvvqv4+HgdOnRIERERzV88AABokSwul8tl1JunpaVp8ODBWrBggSTJ6XQqISFB999/v6ZNm1Zn/0WLFum5555Tdna2fH19L+o97Xa7wsPDVVRUpLCwsEuqHwAANI+G/H4bdlqqsrJSmzdv1vDhw88W4+Wl4cOHa/369fUes3LlSqWnp2vy5MmyWq3q06eP5syZI4fDcc73qaiokN1u93gAAADzMizcFBQUyOFwyGq1eoxbrVbl5ubWe8z+/fv17rvvyuFw6OOPP9bMmTP1/PPP6/e///0532fu3LkKDw93PxISEhr1cwAAgJbF8IbihnA6nYqOjtYrr7yiQYMGaezYsXrssce0aNGicx4zffp0FRUVuR+HDx9uxooBAEBzM6yhOCoqSt7e3rLZbB7jNptNMTEx9R4TGxsrX19feXt7u8d69uyp3NxcVVZWys/Pr84x/v7+8vf3b9ziAQBAi2XYzI2fn58GDRqkzMxM95jT6VRmZqbS09PrPWbo0KHau3evnE6ne2z37t2KjY2tN9gAAIC2x9DTUhkZGXr11Vf117/+VTt37tR9992n0tJSTZo0SZI0YcIETZ8+3b3/fffdpxMnTujBBx/U7t27tWrVKs2ZM0eTJ0826iMAAIAWxtB1bsaOHav8/HzNmjVLubm56t+/v1avXu1uMs7JyZGX19n8lZCQoE8++UQPPfSQ+vXrp/j4eD344IN65JFHjPoIAACghTF0nRsjsM4NAACtT6tY5wYAAKApEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICpEG4AAICp+BhdAAAAjcnlcqm6uloOh8PoUtBAvr6+8vb2vuTXIdwAAEyjsrJSx48fV1lZmdGl4CJYLBZ17NhRISEhl/Q6hBsAgCk4nU4dOHBA3t7eiouLk5+fnywWi9Fl4QK5XC7l5+fryJEj6tat2yXN4BBuAACmUFlZKafTqYSEBAUFBRldDi5Chw4ddPDgQVVVVV1SuKGhGABgKl5e/LS1Vo0108a/AQAAwFQINwAAwFQINwAAwFQINwAAwFQINwAAoI6qqiqjS7hohBsAgGm5XC6VVVYb8nC5XA2qdfXq1bryyisVERGhyMhI3Xjjjdq3b597+5EjRzR+/Hi1b99ewcHBSk1N1YYNG9zb//73v2vw4MEKCAhQVFSUxowZ495msVj04YcferxfRESEli1bJkk6ePCgLBaLVqxYoV/84hcKCAjQG2+8ocLCQo0fP17x8fEKCgpS37599eabb3q8jtPp1LPPPquuXbvK399fnTp10tNPPy1JGjZsmKZMmeKxf35+vvz8/JSZmdmgfz4NwTo3AADTOl3lUK9Znxjy3jueHKkgvwv/mS0tLVVGRob69eunkpISzZo1S2PGjFFWVpbKysr0i1/8QvHx8Vq5cqViYmK0ZcsWOZ1OSdKqVas0ZswYPfbYY/rb3/6myspKffzxxw2uedq0aXr++ec1YMAABQQEqLy8XIMGDdIjjzyisLAwrVq1Srfffru6dOmiIUOGSJKmT5+uV199VS+88IKuvPJKHT9+XNnZ2ZKku+66S1OmTNHzzz8vf39/SdLrr7+u+Ph4DRs2rMH1XSjCDQAALcDNN9/s8XzJkiXq0KGDduzYoa+++kr5+fnatGmT2rdvL0nq2rWre9+nn35a48aN0xNPPOEeS0lJaXANU6dO1U033eQx9rvf/c799/vvv1+ffPKJ3n77bQ0ZMkTFxcX605/+pAULFmjixImSpC5duujKK6+UJN10002aMmWKPvroI91yyy2SpGXLlumOO+5o0tWjCTcAANMK9PXWjidHGvbeDbFnzx7NmjVLGzZsUEFBgXtWJicnR1lZWRowYIA72PxYVlaW7r777kuuOTU11eO5w+HQnDlz9Pbbb+vo0aOqrKxURUWFewXonTt3qqKiQtdcc029rxcQEKDbb79dS5Ys0S233KItW7Zo+/btWrly5SXXej6EGwCAaVkslgadGjLSqFGjlJiYqFdffVVxcXFyOp3q06ePKisrFRgYeN5jf2q7xWKp0wNUX8NwcHCwx/PnnntOf/rTnzR//nz17dtXwcHBmjp1qiorKy/ofaWaU1P9+/fXkSNHtHTpUg0bNkyJiYk/edyloKEYAACDFRYWateuXZoxY4auueYa9ezZUydPnnRv79evn7KysnTixIl6j+/Xr995G3Q7dOig48ePu5/v2bPngu6cvm7dOv3qV7/Sb37zG6WkpKhz587avXu3e3u3bt0UGBh43vfu27evUlNT9eqrr2r58uW68847f/J9LxXhBgAAg7Vr106RkZF65ZVXtHfvXn366afKyMhwbx8/frxiYmI0evRorVu3Tvv379d7772n9evXS5Jmz56tN998U7Nnz9bOnTu1bds2PfPMM+7jhw0bpgULFujbb7/VN998o3vvvVe+vr4/WVe3bt20du1affXVV9q5c6f+67/+Szabzb09ICBAjzzyiB5++GH97W9/0759+/T1119r8eLFHq9z11136Q9/+INcLpfHVVxNhXADAIDBvLy89NZbb2nz5s3q06ePHnroIT333HPu7X5+flqzZo2io6N1ww03qG/fvvrDH/7gvnP2VVddpXfeeUcrV65U//79NWzYMG3cuNF9/PPPP6+EhAT97Gc/06233qrf/e53F3Tn9BkzZmjgwIEaOXKkrrrqKnfA+qGZM2fqv//7vzVr1iz17NlTY8eOVV5ensc+48ePl4+Pj8aPH6+AgIBL+Cd1YSyuhl6I38rZ7XaFh4erqKhIYWFhRpcDAGgk5eXlOnDggJKTk5vlBxQX7uDBg+rSpYs2bdqkgQMHnnO/832HDfn9bh1dVgAAoNWpqqpSYWGhZsyYocsvv/y8waYxcVoKAAA0iXXr1ik2NlabNm3SokWLmu19mbkBAABN4qqrrmrwbSgaAzM3AADAVAg3AABTaWPXyZhKY313hBsAgCmcWbflQhanQ8t0ZuXjM5e4Xyx6bgAApuDt7a2IiAj3GitBQUFNenNGNC6n06n8/HwFBQXJx+fS4gnhBgBgGjExMZJUZxE5tA5eXl7q1KnTJYdSwg0AwDQsFotiY2MVHR1d740h0bL5+fnJy+vSO2YINwAA0/H29r7kvg20Xi2ioXjhwoVKSkpSQECA0tLSPO6H8WPLli2TxWLxeLDMNgAAOMPwcLNixQplZGRo9uzZ2rJli1JSUjRy5Mjzni8NCwvT8ePH3Y9Dhw41Y8UAAKAlMzzczJs3T3fffbcmTZqkXr16adGiRQoKCtKSJUvOeYzFYlFMTIz7YbVam7FiAADQkhnac1NZWanNmzdr+vTp7jEvLy8NHz5c69evP+dxJSUlSkxMlNPp1MCBAzVnzhz17t273n0rKipUUVHhfl5UVCSp5u6iAACgdTjzu30hC/0ZGm4KCgrkcDjqzLxYrVZlZ2fXe0z37t21ZMkS9evXT0VFRfrjH/+oK664Qt9//706duxYZ/+5c+fqiSeeqDOekJDQOB8CAAA0m+LiYoWHh593n1Z3tVR6errS09Pdz6+44gr17NlTL7/8sp566qk6+0+fPl0ZGRnu506nUydOnFBkZGSjL+5kt9uVkJCgw4cPKywsrFFfGw3H99Gy8H20LHwfLQ/fyfm5XC4VFxcrLi7uJ/c1NNxERUXJ29tbNpvNY9xms7kXYvopvr6+GjBggPbu3Vvvdn9/f/n7+3uMRUREXFS9FyosLIx/MVsQvo+Whe+jZeH7aHn4Ts7tp2ZszjC0odjPz0+DBg1SZmame8zpdCozM9NjduZ8HA6Htm3bptjY2KYqEwAAtCKGn5bKyMjQxIkTlZqaqiFDhmj+/PkqLS3VpEmTJEkTJkxQfHy85s6dK0l68skndfnll6tr1646deqUnnvuOR06dEh33XWXkR8DAAC0EIaHm7Fjxyo/P1+zZs1Sbm6u+vfvr9WrV7ubjHNycjyWYj558qTuvvtu5ebmql27dho0aJC++uor9erVy6iP4Obv76/Zs2fXOQ0GY/B9tCx8Hy0L30fLw3fSeCyuC7mmCgAAoJUwfBE/AACAxkS4AQAApkK4AQAApkK4AQAApkK4aSQLFy5UUlKSAgIClJaWpo0bNxpdUps1d+5cDR48WKGhoYqOjtbo0aO1a9cuo8tCrT/84Q+yWCyaOnWq0aW0WUePHtVvfvMbRUZGKjAwUH379tU333xjdFltksPh0MyZM5WcnKzAwEB16dJFTz311AXdPwnnRrhpBCtWrFBGRoZmz56tLVu2KCUlRSNHjlReXp7RpbVJn3/+uSZPnqyvv/5aa9euVVVVlUaMGKHS0lKjS2vzNm3apJdffln9+vUzupQ26+TJkxo6dKh8fX31z3/+Uzt27NDzzz+vdu3aGV1am/TMM8/opZde0oIFC7Rz504988wzevbZZ/WXv/zF6NJaNS4FbwRpaWkaPHiwFixYIKlmleWEhATdf//9mjZtmsHVIT8/X9HR0fr888/185//3Ohy2qySkhINHDhQL774on7/+9+rf//+mj9/vtFltTnTpk3TunXr9O9//9voUiDpxhtvlNVq1eLFi91jN998swIDA/X6668bWFnrxszNJaqsrNTmzZs1fPhw95iXl5eGDx+u9evXG1gZzigqKpIktW/f3uBK2rbJkyfrl7/8pcd/K2h+K1euVGpqqn79618rOjpaAwYM0Kuvvmp0WW3WFVdcoczMTO3evVuStHXrVn355Ze6/vrrDa6sdTN8heLWrqCgQA6Hw72i8hlWq1XZ2dkGVYUznE6npk6dqqFDh6pPnz5Gl9NmvfXWW9qyZYs2bdpkdClt3v79+/XSSy8pIyNDjz76qDZt2qQHHnhAfn5+mjhxotHltTnTpk2T3W5Xjx495O3tLYfDoaefflq33Xab0aW1aoQbmNrkyZO1fft2ffnll0aX0mYdPnxYDz74oNauXauAgACjy2nznE6nUlNTNWfOHEnSgAEDtH37di1atIhwY4C3335bb7zxhpYvX67evXsrKytLU6dOVVxcHN/HJSDcXKKoqCh5e3vLZrN5jNtsNsXExBhUFSRpypQp+sc//qEvvvhCHTt2NLqcNmvz5s3Ky8vTwIED3WMOh0NffPGFFixYoIqKCnl7extYYdsSGxtb5158PXv21HvvvWdQRW3b//zP/2jatGkaN26cJKlv3746dOiQ5s6dS7i5BPTcXCI/Pz8NGjRImZmZ7jGn06nMzEylp6cbWFnb5XK5NGXKFH3wwQf69NNPlZycbHRJbdo111yjbdu2KSsry/1ITU3VbbfdpqysLIJNMxs6dGidpRF2796txMREgypq28rKyjxuDi1J3t7ecjqdBlVkDszcNIKMjAxNnDhRqampGjJkiObPn6/S0lJNmjTJ6NLapMmTJ2v58uX66KOPFBoaqtzcXElSeHi4AgMDDa6u7QkNDa3T7xQcHKzIyEj6oAzw0EMP6YorrtCcOXN0yy23aOPGjXrllVf0yiuvGF1amzRq1Cg9/fTT6tSpk3r37q1vv/1W8+bN05133ml0aa0al4I3kgULFui5555Tbm6u+vfvrz//+c9KS0szuqw2yWKx1Du+dOlS3XHHHc1bDOp11VVXcSm4gf7xj39o+vTp2rNnj5KTk5WRkaG7777b6LLapOLiYs2cOVMffPCB8vLyFBcXp/Hjx2vWrFny8/MzurxWi3ADAABMhZ4bAABgKoQbAABgKoQbAABgKoQbAABgKoQbAABgKoQbAABgKoQbAABgKoQbAG2exWLRhx9+aHQZABoJ4QaAoe644w5ZLJY6j+uuu87o0gC0UtxbCoDhrrvuOi1dutRjzN/f36BqALR2zNwAMJy/v79iYmI8Hu3atZNUc8ropZde0vXXX6/AwEB17txZ7777rsfx27Zt07BhwxQYGKjIyEjdc889Kikp8dhnyZIl6t27t/z9/RUbG6spU6Z4bC8oKNCYMWMUFBSkbt26aeXKlU37oQE0GcINgBZv5syZuvnmm7V161bddtttGjdunHbu3ClJKi0t1ciRI9WuXTtt2rRJ77zzjv71r395hJeXXnpJkydP1j333KNt27Zp5cqV6tq1q8d7PPHEE7rlllv03Xff6YYbbtBtt92mEydONOvnBNBIXABgoIkTJ7q8vb1dwcHBHo+nn37a5XK5XJJc9957r8cxaWlprvvuu8/lcrlcr7zyiqtdu3aukpIS9/ZVq1a5vLy8XLm5uS6Xy+WKi4tzPfbYY+esQZJrxowZ7uclJSUuSa5//vOfjfY5ATQfem4AGO7qq6/WSy+95DHWvn1799/T09M9tqWnpysrK0uStHPnTqWkpCg4ONi9fejQoXI6ndq1a5csFouOHTuma6655rw19OvXz/334OBghYWFKS8v72I/EgADEW4AGC44OLjOaaLGEhgYeEH7+fr6ejy3WCxyOp1NURKAJkbPDYAW7+uvv67zvGfPnpKknj17auvWrSotLXVvX7dunby8vNS9e3eFhoYqKSlJmZmZzVozAOMwcwPAcBUVFcrNzfUY8/HxUVRUlCTpnXfeUWpqqq688kq98cYb2rhxoxYvXixJuu222zR79mxNnDhRjz/+uPLz83X//ffr9ttvl9VqlSQ9/vjjuvfeexUdHa3rr79excXFWrdune6///7m/aAAmgXhBoDhVq9erdjYWI+x7t27Kzs7W1LNlUxvvfWW/t//+3+KjY3Vm2++qV69ekmSgoKC9Mknn+jBBx/U4MGDFRQUpJtvvlnz5s1zv9bEiRNVXl6uF154Qb/73e8UFRWl//zP/2y+DwigWVlcLpfL6CIA4FwsFos++OADjR492uhSALQS9NwAAABTIdwAAABToecGQIvGmXMADcXMDQAAMBXCDQAAMBXCDQAAMBXCDQAAMBXCDQAAMBXCDQAAMBXCDQAAMBXCDQAAMBXCDQAAMJX/DzdbntLYPZ1FAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Rete convoluzionale quantistica"
      ],
      "metadata": {
        "id": "d1pawGexchOc"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 11,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GyG4Oumcbi6n",
        "outputId": "727e6c24-21fd-4a90-c7dc-a1106bfcc3fb"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-11-3118c2f97e1e>:6: DeprecationWarning: ``qiskit.algorithms`` has been migrated to an independent package: https://github.com/qiskit-community/qiskit-algorithms. The ``qiskit.algorithms`` import path is deprecated as of qiskit-terra 0.25.0 and will be removed no earlier than 3 months after the release date. Please run ``pip install qiskit_algorithms`` and use ``import qiskit_algorithms`` instead.\n",
            "  from qiskit.algorithms.optimizers import COBYLA\n"
          ]
        }
      ],
      "source": [
        "import json\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "from IPython.display import clear_output\n",
        "from qiskit import QuantumCircuit\n",
        "from qiskit.algorithms.optimizers import COBYLA\n",
        "from qiskit.circuit import ParameterVector\n",
        "from qiskit.circuit.library import ZFeatureMap\n",
        "from qiskit.quantum_info import SparsePauliOp\n",
        "from qiskit.utils import algorithm_globals\n",
        "from qiskit_machine_learning.algorithms.classifiers import NeuralNetworkClassifier\n",
        "from qiskit_machine_learning.neural_networks import EstimatorQNN\n",
        "from sklearn.model_selection import train_test_split\n",
        "\n",
        "algorithm_globals.random_seed = 12345"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def generate_dataset(num_images):\n",
        "    images = []\n",
        "    labels = []\n",
        "    hor_array = np.zeros((6, 8))\n",
        "    ver_array = np.zeros((4, 8))\n",
        "\n",
        "    j = 0\n",
        "    for i in range(0, 7):\n",
        "        if i != 3:\n",
        "            hor_array[j][i] = np.pi / 2\n",
        "            hor_array[j][i + 1] = np.pi / 2\n",
        "            j += 1\n",
        "\n",
        "    j = 0\n",
        "    for i in range(0, 4):\n",
        "        ver_array[j][i] = np.pi / 2\n",
        "        ver_array[j][i + 4] = np.pi / 2\n",
        "        j += 1\n",
        "\n",
        "    for n in range(num_images):\n",
        "        rng = algorithm_globals.random.integers(0, 2)\n",
        "        if rng == 0:\n",
        "            labels.append(-1)\n",
        "            random_image = algorithm_globals.random.integers(0, 6)\n",
        "            images.append(np.array(hor_array[random_image]))\n",
        "        elif rng == 1:\n",
        "            labels.append(1)\n",
        "            random_image = algorithm_globals.random.integers(0, 4)\n",
        "            images.append(np.array(ver_array[random_image]))\n",
        "\n",
        "        # Create noise\n",
        "        for i in range(8):\n",
        "            if images[-1][i] == 0:\n",
        "                images[-1][i] = algorithm_globals.random.uniform(0, np.pi / 4)\n",
        "    return images, labels"
      ],
      "metadata": {
        "id": "uaFxcsGxbqDN"
      },
      "execution_count": 24,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "images, labels = generate_dataset(50)\n",
        "\n",
        "train_images, test_images, train_labels, test_labels = train_test_split(\n",
        "    images, labels, test_size=0.3\n",
        ")"
      ],
      "metadata": {
        "id": "YYhV-TNCbyn9"
      },
      "execution_count": 25,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(2, 2, figsize=(10, 6), subplot_kw={\"xticks\": [], \"yticks\": []})\n",
        "for i in range(4):\n",
        "    ax[i // 2, i % 2].imshow(\n",
        "        train_images[i].reshape(2, 4),\n",
        "        aspect=\"equal\",\n",
        "    )\n",
        "plt.subplots_adjust(wspace=0.1, hspace=0.025)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "8HOp4kQgby3z",
        "outputId": "53fa2ae4-d40e-46cc-f476-397c2675c72b"
      },
      "execution_count": 26,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 4 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Circuito di convoluzione\n",
        "\n",
        "def conv_circuit(params):\n",
        "    target = QuantumCircuit(2)\n",
        "    target.rz(-np.pi / 2, 1)\n",
        "    target.cx(1, 0)\n",
        "    target.rz(params[0], 0)\n",
        "    target.ry(params[1], 1)\n",
        "    target.cx(0, 1)\n",
        "    target.ry(params[2], 1)\n",
        "    target.cx(1, 0)\n",
        "    target.rz(np.pi / 2, 0)\n",
        "    return target\n",
        "\n",
        "\n",
        "params = ParameterVector(\"θ\", length=3)\n",
        "circuit = conv_circuit(params)\n",
        "circuit.draw(\"mpl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        },
        "id": "dZRVqNXXmSue",
        "outputId": "3934ae1b-e245-442b-b018-f0880b4fe561"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 705.35x200.667 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Layer di convoluzione\n",
        "\n",
        "def conv_layer(num_qubits, param_prefix):\n",
        "    qc = QuantumCircuit(num_qubits, name=\"Conv Layer\")\n",
        "    qubits = list(range(num_qubits))\n",
        "    param_index = 0\n",
        "    params = ParameterVector(param_prefix, length=num_qubits * 3)\n",
        "    for q1, q2 in zip(qubits[0::2], qubits[1::2]):\n",
        "        qc = qc.compose(conv_circuit(params[param_index : (param_index + 3)]), [q1, q2])\n",
        "        qc.barrier()\n",
        "        param_index += 3\n",
        "    for q1, q2 in zip(qubits[1::2], qubits[2::2] + [0]):\n",
        "        qc = qc.compose(conv_circuit(params[param_index : (param_index + 3)]), [q1, q2])\n",
        "        qc.barrier()\n",
        "        param_index += 3\n",
        "\n",
        "    qc_inst = qc.to_instruction()\n",
        "\n",
        "    qc = QuantumCircuit(num_qubits)\n",
        "    qc.append(qc_inst, qubits)\n",
        "    return qc\n",
        "\n",
        "\n",
        "circuit = conv_layer(4, \"θ\")\n",
        "circuit.decompose().draw(\"mpl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 642
        },
        "id": "YIUBm7eRmgm2",
        "outputId": "9e1e45f4-4d12-4b65-f305-e8b7d8c99ab6"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 2210.55x785.944 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 14
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Circuito di pooling\n",
        "\n",
        "def pool_circuit(params):\n",
        "    target = QuantumCircuit(2)\n",
        "    target.rz(-np.pi / 2, 1)\n",
        "    target.cx(1, 0)\n",
        "    target.rz(params[0], 0)\n",
        "    target.ry(params[1], 1)\n",
        "    target.cx(0, 1)\n",
        "    target.ry(params[2], 1)\n",
        "\n",
        "    return target\n",
        "\n",
        "\n",
        "params = ParameterVector(\"θ\", length=3)\n",
        "circuit = pool_circuit(params)\n",
        "circuit.draw(\"mpl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 191
        },
        "id": "x8AdIzLvb0Tc",
        "outputId": "9383fead-0398-45f2-9424-dfacaad5953e"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 538.128x200.667 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def pool_layer(sources, sinks, param_prefix):\n",
        "    num_qubits = len(sources) + len(sinks)\n",
        "    qc = QuantumCircuit(num_qubits, name=\"Pooling Layer\")\n",
        "    param_index = 0\n",
        "    params = ParameterVector(param_prefix, length=num_qubits // 2 * 3)\n",
        "    for source, sink in zip(sources, sinks):\n",
        "        qc = qc.compose(pool_circuit(params[param_index : (param_index + 3)]), [source, sink])\n",
        "        qc.barrier()\n",
        "        param_index += 3\n",
        "\n",
        "    qc_inst = qc.to_instruction()\n",
        "\n",
        "    qc = QuantumCircuit(num_qubits)\n",
        "    qc.append(qc_inst, range(num_qubits))\n",
        "    return qc\n",
        "\n",
        "\n",
        "sources = [0, 1]\n",
        "sinks = [2, 3]\n",
        "circuit = pool_layer(sources, sinks, \"θ\")\n",
        "circuit.decompose().draw(\"mpl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 320
        },
        "id": "9dV3eywvnV5s",
        "outputId": "4ad3343e-e406-434c-9965-f87bcab0b2dd"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 1123.61x367.889 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Creo il modello\n",
        "\n",
        "feature_map = ZFeatureMap(8)\n",
        "\n",
        "ansatz = QuantumCircuit(8, name=\"Ansatz\")\n",
        "\n",
        "# Primo layer conv\n",
        "ansatz.compose(conv_layer(8, \"с1\"), list(range(8)), inplace=True)\n",
        "\n",
        "# Primo layer pool\n",
        "ansatz.compose(pool_layer([0, 1, 2, 3], [4, 5, 6, 7], \"p1\"), list(range(8)), inplace=True)\n",
        "\n",
        "# Secondo layer conv\n",
        "ansatz.compose(conv_layer(4, \"c2\"), list(range(4, 8)), inplace=True)\n",
        "\n",
        "# Secondo layer pool\n",
        "ansatz.compose(pool_layer([0, 1], [2, 3], \"p2\"), list(range(4, 8)), inplace=True)\n",
        "\n",
        "# Terzo layer conv\n",
        "ansatz.compose(conv_layer(2, \"c3\"), list(range(6, 8)), inplace=True)\n",
        "\n",
        "# Terzo layer pool\n",
        "ansatz.compose(pool_layer([0], [1], \"p3\"), list(range(6, 8)), inplace=True)\n",
        "\n",
        "# Unisco featuremap e ansatz\n",
        "circuit = QuantumCircuit(8)\n",
        "circuit.compose(feature_map, range(8), inplace=True)\n",
        "circuit.compose(ansatz, range(8), inplace=True)\n",
        "\n",
        "# Creo l'osservabile\n",
        "observable = SparsePauliOp.from_list([(\"Z\" + \"I\" * 7, 1)])\n",
        "\n",
        "# Creo l'estimator\n",
        "qnn = EstimatorQNN(\n",
        "    circuit=circuit.decompose(),\n",
        "    observables=observable,\n",
        "    input_params=feature_map.parameters,\n",
        "    weight_params=ansatz.parameters,\n",
        ")\n",
        "circuit.draw(\"mpl\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "cvRIlQnnnX08",
        "outputId": "5a313f7b-e683-43a7-ad92-846c5d007605"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Figure size 2210.55x1454.83 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {},
          "execution_count": 20
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "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()"
      ],
      "metadata": {
        "id": "tiCxxl3tnjKz"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Creo il classificatore\n",
        "classifier = NeuralNetworkClassifier(\n",
        "    qnn,\n",
        "    optimizer=COBYLA(maxiter=250),\n",
        "    callback=callback_graph\n",
        ")"
      ],
      "metadata": {
        "id": "JCjNaPInn9R7"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = np.asarray(train_images)\n",
        "y = np.asarray(train_labels)\n",
        "\n",
        "objective_func_vals = []\n",
        "plt.rcParams[\"figure.figsize\"] = (12, 6)\n",
        "classifier.fit(x, y)\n",
        "\n",
        "# score classifier\n",
        "print(f\"Accuracy from the train data : {np.round(100 * classifier.score(x, y), 2)}%\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 581
        },
        "id": "2MWsFYu9oN3q",
        "outputId": "226e8158-0e0b-4941-c231-d21945fbc07e"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy from the train data : 88.57%\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "y_predict = classifier.predict(test_images)\n",
        "x = np.asarray(test_images)\n",
        "y = np.asarray(test_labels)\n",
        "print(f\"Accuracy from the test data : {np.round(100 * classifier.score(x, y), 2)}%\")\n",
        "\n",
        "# Let's see some examples in our dataset\n",
        "fig, ax = plt.subplots(2, 2, figsize=(10, 6), subplot_kw={\"xticks\": [], \"yticks\": []})\n",
        "for i in range(0, 4):\n",
        "    ax[i // 2, i % 2].imshow(test_images[i].reshape(2, 4), aspect=\"equal\")\n",
        "    if y_predict[i] == -1:\n",
        "        ax[i // 2, i % 2].set_title(\"The QCNN predicts this is a Horizontal Line\")\n",
        "    if y_predict[i] == +1:\n",
        "        ax[i // 2, i % 2].set_title(\"The QCNN predicts this is a Vertical Line\")\n",
        "plt.subplots_adjust(wspace=0.1, hspace=0.5)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 538
        },
        "id": "8tYLF0PwoQKy",
        "outputId": "636008c0-c276-4c43-c3df-ff13120dc211"
      },
      "execution_count": 31,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Accuracy from the test data : 86.67%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 4 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    }
  ]
}