{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "# Linear quantum photonic circuits as Gaussian kernel samplers",
   "id": "da9ae7106a85108b"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "The goal of this notebook is to reproduce the quantum photonic circuit as a Gaussian kernel sampler from [this paper](https://arxiv.org/abs/2107.05224) and analyse its expressive power based on the number of photon used. Then, we will use our trained circuit for a classification task by feeding the approximated similarity matrix to a Support Vector Machine (SVM).\n",
    "\n",
    "To train our circuit, we will use MerLin which applies the gradient descent algorithm and allows the usage of quantum components mixed with PyTorch structures to build and optimize a hybrid model."
   ],
   "id": "8e7aae71f8aa96f6"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 0. Imports and prep",
   "id": "e4f1c9daea1de0c7"
  },
  {
   "cell_type": "code",
   "id": "initial_id",
   "metadata": {
    "collapsed": true,
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:11.637286Z",
     "start_time": "2025-06-06T19:08:26.489772Z"
    }
   },
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import perceval as pcvl\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import numpy as np\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "from sklearn.metrics import mean_squared_error, accuracy_score\n",
    "from sklearn.datasets import make_circles, make_moons, make_blobs\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.metrics import accuracy_score\n",
    "from sklearn.svm import SVC\n",
    "from tqdm import tqdm\n",
    "import random\n",
    "\n",
    "# Import from our custom packages\n",
    "from merlin import QuantumLayer, OutputMappingStrategy"
   ],
   "outputs": [],
   "execution_count": 1
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 1. Define input data (squared Euclidean distance between x and zero)",
   "id": "72f9a6437e089950"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:16.197332Z",
     "start_time": "2025-06-06T19:09:16.188031Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# We want x form -pi to pi\n",
    "x = np.linspace(-np.pi, np.pi, num=int(2 * np.pi / 0.05) + 1)\n",
    "# We will use x_on_pi for visualization\n",
    "x_on_pi = x / np.pi\n",
    "# delta will be the input to our quantum model\n",
    "delta = (x - 0)**2\n",
    "\n",
    "def target_function(delta, sigma=1.0):\n",
    "    return np.exp(-delta/(2*sigma*sigma))\n",
    "\n",
    "gauss_025 = target_function(delta, sigma=0.25)\n",
    "gauss_033 = target_function(delta, sigma=0.33)\n",
    "gauss_050 = target_function(delta, sigma=0.50)\n",
    "gauss_100 = target_function(delta, sigma=1.00)"
   ],
   "id": "aa06fb07923d37c3",
   "outputs": [],
   "execution_count": 2
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Let's visualize our different Gaussians.",
   "id": "18988dce771b978a"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:22.405477Z",
     "start_time": "2025-06-06T19:09:21.738299Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Plot using matplotlib\n",
    "fig, axs = plt.subplots(2, 2, figsize=(8, 8))\n",
    "plt.subplots_adjust(hspace=0.4, wspace=0.4)\n",
    "i = 0\n",
    "j = 0\n",
    "ys = [gauss_025, gauss_033, gauss_050, gauss_100]\n",
    "ys = list(reversed(ys))\n",
    "sigmas = [0.25, 0.33, 0.50, 1.00]\n",
    "sigmas = list(reversed(sigmas))\n",
    "\n",
    "for y, sigma in zip(ys, sigmas):\n",
    "    axis = axs[i // 2][j % 2]\n",
    "    axis.scatter(x_on_pi, y, label= f\"std={sigma}\", s=10, color=\"k\")\n",
    "    axis.set_xlabel('x / pi')\n",
    "    axis.set_ylabel('y')\n",
    "    axis.grid(True)\n",
    "    axis.legend(loc=\"upper right\")\n",
    "    i += 1\n",
    "    j += 1\n",
    "\n",
    "fig.suptitle(\"Gaussian function for different standard deviations\", fontsize=14)\n",
    "plt.show()\n",
    "plt.clf()"
   ],
   "id": "fc72d6a4219737e3",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 3
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Let's also define a class for our hyperparameters since we will need it to test the following functions.",
   "id": "3207cb9eb8ccd4a1"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:25.501771Z",
     "start_time": "2025-06-06T19:09:25.495138Z"
    }
   },
   "cell_type": "code",
   "source": [
    "class Hyperparams:\n",
    "    def __init__(self, num_runs=3, num_epochs=100, batch_size=32, lr=0.02, betas=[0.9, 0.999], weight_decay=0, train_circuit=False, scale_type=\"learned\", circuit=\"mzi\"):\n",
    "        self.num_runs = num_runs\n",
    "        self.num_epochs = num_epochs\n",
    "        self.batch_size = batch_size\n",
    "        self.lr = lr\n",
    "        self.betas = betas\n",
    "        self.weight_decay = weight_decay\n",
    "        self.train_circuit = train_circuit\n",
    "        self.scale_type = scale_type\n",
    "        self.circuit = circuit\n",
    "\n",
    "basic_hp = Hyperparams()"
   ],
   "id": "a3d806bf75d248d5",
   "outputs": [],
   "execution_count": 4
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 2. Model definition",
   "id": "f2f569cdc5170cb9"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "First, we have to build the quantum circuit that we will use in the model with the help of Perceval. In the reference paper, the circuit used is a simple Mach-Zehnder interferometer (MZI) which is a popular circuit in QML. However, let's also define a general circuit with more trainable parameters that yields better results in our case.",
   "id": "f55e33dd4f7a1b3"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:29.402511Z",
     "start_time": "2025-06-06T19:09:29.364588Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def create_circuit_mzi(args):\n",
    "    \"\"\"Create variational quantum classifier with specified number of modes using general meshes\"\"\"\n",
    "    if args.train_circuit:\n",
    "        wl = pcvl.BS.H(theta=pcvl.P(\"theta_1\"))\n",
    "    else:\n",
    "        wl = pcvl.BS.H()\n",
    "\n",
    "    c_var = pcvl.Circuit(2)\n",
    "    px = pcvl.P(\"px\")\n",
    "    c_var.add(0 , pcvl.PS(px))\n",
    "\n",
    "    if args.train_circuit:\n",
    "        wr = pcvl.BS.H(theta=pcvl.P(\"theta_2\"))\n",
    "    else:\n",
    "        wr = pcvl.BS.H()\n",
    "\n",
    "    c = pcvl.Circuit(2)\n",
    "    c.add(0, wl, merge=True)\n",
    "    c.add(0, c_var, merge=True)\n",
    "    c.add(0, wr, merge=True)\n",
    "\n",
    "    return c\n",
    "\n",
    "\n",
    "def create_circuit_general(args):\n",
    "    \"\"\"Create variational quantum classifier with specified number of modes using general meshes\"\"\"\n",
    "\n",
    "    wl = pcvl.GenericInterferometer(2,\n",
    "                                    lambda i: pcvl.BS(pcvl.P(f\"theta_li{i}_bs\")) // pcvl.PS(pcvl.P(f\"theta_li_ps{i}\")) // \\\n",
    "                                              pcvl.BS(pcvl.P(f\"theta_lo{i}_bs\")) // pcvl.PS(pcvl.P(f\"theta_lo_ps{i}\")),\n",
    "                                    shape=pcvl.InterferometerShape.RECTANGLE)\n",
    "\n",
    "    c_var = pcvl.Circuit(2)\n",
    "    px = pcvl.P(\"px\")\n",
    "    c_var.add(0 , pcvl.PS(px))\n",
    "\n",
    "    wr = pcvl.GenericInterferometer(2,\n",
    "                                    lambda i: pcvl.BS(pcvl.P(f\"theta_ri{i}_bs\")) // pcvl.PS(pcvl.P(f\"theta_ri{i}_ps\")) // \\\n",
    "                                              pcvl.BS(pcvl.P(f\"theta_ro{i}_bs\")) // pcvl.PS(pcvl.P(f\"theta_ro{i}_ps\")),\n",
    "                                    shape=pcvl.InterferometerShape.RECTANGLE)\n",
    "\n",
    "    c = pcvl.Circuit(2)\n",
    "    c.add(0, wl, merge=True)\n",
    "    c.add(0, c_var, merge=True)\n",
    "    c.add(0, wr, merge=True)\n",
    "\n",
    "    return c\n",
    "\n",
    "def count_parameters(model):\n",
    "    \"\"\"Count trainable parameters in a PyTorch model\"\"\"\n",
    "    return sum(p.numel() for p in model.parameters() if p.requires_grad)\n",
    "\n",
    "\n",
    "# Visualize MZI\n",
    "\"\"\"example_circuit = create_circuit_mzi(basic_hp)\n",
    "pcvl.pdisplay(example_circuit)\"\"\"\n",
    "\n",
    "# Visualize general circuit\n",
    "example_circuit = create_circuit_general(basic_hp)\n",
    "pcvl.pdisplay(example_circuit)"
   ],
   "id": "7c2bc60eeff85cff",
   "outputs": [
    {
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       "<drawsvg.drawing.Drawing at 0x148db94d550>"
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text-anchor=\"middle\"></text>\n<text x=\"75\" y=\"26\" font-size=\"7\" text-anchor=\"middle\">Θ=theta_li0_bs</text>\n<path d=\"M50,43 L100,43 L100,47 L50,47 Z\" stroke=\"black\" fill=\"lightgray\" stroke-linejoin=\"miter\" />\n<path d=\"M93,50 L103,50 L103,60 L93,60 Z\" stroke=\"black\" fill=\"thistle\" stroke-linejoin=\"miter\" />\n<text x=\"98\" y=\"57\" font-size=\"6\" text-anchor=\"middle\">Rx</text>\n<path d=\"M125,25 L175,25\" stroke=\"darkred\" stroke-width=\"3\" fill=\"none\" />\n<path d=\"M130,40 L139,40 L153,10 L144,10 L130,40 L139,40 Z\" stroke=\"black\" fill=\"gray\" stroke-linejoin=\"miter\" />\n<text x=\"147\" y=\"38\" font-size=\"7\" text-anchor=\"start\">Φ=theta_li_ps0</text>\n<path d=\"M125,75.0 L175,75.0\" stroke=\"darkred\" stroke-width=\"3\" fill=\"none\" />\n<path d=\"M175,25 L203,25 L222,44\" stroke=\"darkred\" stroke-width=\"3\" fill=\"none\" />\n<path d=\"M228,44 L247,25 L275,25\" stroke=\"darkred\" stroke-width=\"3\" fill=\"none\" />\n<path d=\"M175,75 L203,75 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     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "execution_count": 5
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Second, we also need to define a scaling layer that simply multiplies the input by a constant before encoding it in the circuit. That will be the first layer of our model.",
   "id": "912d16a8587e0ee9"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:36.820156Z",
     "start_time": "2025-06-06T19:09:36.809030Z"
    }
   },
   "cell_type": "code",
   "source": [
    "class ScaleLayer(nn.Module):\n",
    "    \"\"\"\n",
    "        Multiply the input tensor by a learned or fixed factor.\n",
    "\n",
    "        Args:\n",
    "            dim (int): Dimension of the input data to be encoded.\n",
    "            scale_type (str): Type of scaling method.\n",
    "\n",
    "        Returns: nn.Module that multiplies the input tensor by a learned or fixed factor.\n",
    "    \"\"\"\n",
    "    def __init__(self, dim, scale_type = \"learned\"):\n",
    "        super(ScaleLayer, self).__init__()\n",
    "        # Create a single learnable parameter (initialized to 0.1 by default)\n",
    "        if scale_type == \"learned\":\n",
    "            self.scale = nn.Parameter(torch.full((dim,), 0.1))\n",
    "        elif scale_type == \"2pi\":\n",
    "            self.scale = torch.full((dim,), 2 * torch.pi)\n",
    "        elif scale_type == \"pi\":\n",
    "            self.scale = torch.full((dim,), torch.pi)\n",
    "        elif scale_type == \"/pi\":\n",
    "            self.scale = torch.full((dim,), 1 / torch.pi)\n",
    "        elif scale_type == \"1\":\n",
    "            self.scale = torch.full((dim,), 1)\n",
    "        elif scale_type == \"0.1\":\n",
    "            self.scale = torch.full((dim,), 0.1)\n",
    "        elif scale_type == \"/2pi\":\n",
    "            self.scale = torch.full((dim,), 1 / (2 * torch.pi))\n",
    "\n",
    "    def forward(self, x):\n",
    "        # Element-wise multiplication of each input element by the learned scale\n",
    "        return x * self.scale"
   ],
   "id": "7d45b0e079d58a63",
   "outputs": [],
   "execution_count": 6
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Then, we use MerLin to define the quantum layer that we will use to build our hybrid model. MerLin allows the optimization of the quantum components to run smoothly using the efficient PyTorch framework.\n",
    "\n",
    "In our specific case, we will determine the input state of the circuit depending on the number of photons."
   ],
   "id": "7d5aabe8e7a0d566"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T19:09:39.746278Z",
     "start_time": "2025-06-06T19:09:39.627549Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def create_quantum_layer(num_photons, args):\n",
    "    \"\"\" Create a quantum layer consisting of a VQC for a specific initial state \"\"\"\n",
    "    if num_photons % 2 == 0:\n",
    "        input_state = [num_photons//2, num_photons//2]\n",
    "    else:\n",
    "        input_state = [(num_photons//2) + 1, num_photons//2]\n",
    "\n",
    "    if args.circuit == \"general\":\n",
    "        trainable_params = [\"theta\"]\n",
    "        circuit = create_circuit_general(args)\n",
    "\n",
    "    elif args.circuit == \"mzi\":\n",
    "        if args.train_circuit:\n",
    "            trainable_params = [\"theta\"]\n",
    "        else:\n",
    "            trainable_params = []\n",
    "        circuit = create_circuit_mzi(args)\n",
    "\n",
    "    else:\n",
    "        raise NotImplementedError\n",
    "\n",
    "    scale_layer = ScaleLayer(1, args.scale_type)\n",
    "\n",
    "    vqc = QuantumLayer(\n",
    "                input_size=1,\n",
    "                output_size=1,\n",
    "                circuit=circuit,\n",
    "                trainable_parameters=trainable_params,\n",
    "                input_parameters=[\"px\"],\n",
    "                input_state= input_state,\n",
    "                no_bunching=False,\n",
    "                output_mapping_strategy=OutputMappingStrategy.LINEAR\n",
    "            )\n",
    "\n",
    "    model = nn.Sequential(scale_layer, vqc)\n",
    "\n",
    "    return model\n",
    "\n",
    "\n",
    "# Let's create some MZI circuits to see their number of parameters and their input state\n",
    "mzi_2_photons = create_quantum_layer(2, basic_hp)\n",
    "mzi_4_photons = create_quantum_layer(4, basic_hp)\n",
    "mzi_6_photons = create_quantum_layer(6, basic_hp)\n",
    "mzi_8_photons = create_quantum_layer(8, basic_hp)\n",
    "mzi_10_photons = create_quantum_layer(10, basic_hp)\n",
    "\n",
    "models = {\"MZI 2\": mzi_2_photons, \"MZI 4\": mzi_4_photons, \"MZI 6\": mzi_6_photons, \"MZI 8\": mzi_8_photons, \"MZI 10\": mzi_10_photons}\n",
    "\n",
    "for name, model in models.items():\n",
    "    input_state = model[1].input_state\n",
    "    print(f\"{name}: {count_parameters(model)} parameters and input state {input_state}\")"
   ],
   "id": "354069a0ae552ae0",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MZI 2: 5 parameters and input state [1, 1]\n",
      "MZI 4: 7 parameters and input state [2, 2]\n",
      "MZI 6: 9 parameters and input state [3, 3]\n",
      "MZI 8: 11 parameters and input state [4, 4]\n",
      "MZI 10: 13 parameters and input state [5, 5]\n"
     ]
    }
   ],
   "execution_count": 7
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 3. Training function",
   "id": "f503b59be7ca1259"
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Thanks to MerLin, the optimization of the model has the same programing structure as PyTorch with classical methods.",
   "id": "f479c5c224345c2c"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:13:17.088372Z",
     "start_time": "2025-06-06T18:13:17.079268Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def train_model(model, X_train, y_train, model_name, args):\n",
    "    \"\"\"Train a model and return training metrics\"\"\"\n",
    "    optimizer = torch.optim.AdamW(model.parameters(), lr=args.lr, betas=args.betas, weight_decay=0)\n",
    "    criterion = nn.MSELoss()\n",
    "\n",
    "    losses = []\n",
    "    train_mses = []\n",
    "\n",
    "    model.train()\n",
    "\n",
    "    pbar = tqdm(range(args.num_epochs), desc=f\"Training {model_name}\")\n",
    "    for epoch in pbar:\n",
    "        permutation = torch.randperm(X_train.size()[0])\n",
    "        total_loss = 0\n",
    "\n",
    "        for i in range(0, X_train.size()[0], args.batch_size):\n",
    "            indices = permutation[i:i + args.batch_size]\n",
    "            batch_x, batch_y = X_train[indices], y_train[indices]\n",
    "\n",
    "            outputs = model(batch_x)\n",
    "            loss = criterion(outputs.squeeze(), batch_y.squeeze())\n",
    "\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()\n",
    "            optimizer.step()\n",
    "\n",
    "            total_loss += loss.item()\n",
    "\n",
    "        avg_loss = total_loss / (X_train.size()[0] // args.batch_size)\n",
    "        losses.append(avg_loss)\n",
    "\n",
    "        # Evaluation\n",
    "        model.eval()\n",
    "        with torch.no_grad():\n",
    "            train_outputs = model(X_train)\n",
    "            train_mse = mean_squared_error(y_train.numpy(), train_outputs)\n",
    "            train_mses.append(train_mse)\n",
    "\n",
    "            pbar.set_description(f\"Training {model_name} - Loss: {avg_loss:.4f}, Train MSE: {train_mse:.4f}\")\n",
    "\n",
    "        model.train()\n",
    "\n",
    "    scaling_factor = model[0].scale\n",
    "    print(f\"After training, scaling factor: {scaling_factor}\")\n",
    "    return {\n",
    "        'losses': losses,\n",
    "        'train_mses': train_mses,\n",
    "    }"
   ],
   "id": "470dd19f92c1724e",
   "outputs": [],
   "execution_count": 11
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:13:19.628125Z",
     "start_time": "2025-06-06T18:13:19.619293Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def train_models_multiple_runs(num_photons, colors, X_train, ys_info, args):\n",
    "    \"\"\"Train all models multiple times and return results\"\"\"\n",
    "    all_results = {}\n",
    "    ys = ys_info[\"ys\"]\n",
    "    names = ys_info[\"names\"]\n",
    "\n",
    "    assert names[0] == \"std = 1.00\"\n",
    "\n",
    "    for y, name in zip(ys, names):\n",
    "        results = {}\n",
    "        models = []\n",
    "        for n, color in zip(num_photons, colors):\n",
    "            print(f\"\\nTraining MZI with {n} photons ({num_runs} runs) for Gaussian with {name}:\")\n",
    "            pending_models = []\n",
    "            model_runs = []\n",
    "\n",
    "            for run in range(args.num_runs):\n",
    "                # Create a fresh instance of the model for each run\n",
    "                mzi = create_quantum_layer(n, args)\n",
    "\n",
    "                print(f\"  Run {run+1}/{num_runs}...\")\n",
    "                run_results = train_model(mzi, torch.tensor(X_train, dtype=torch.float).unsqueeze(-1), torch.tensor(y, dtype=torch.float), f\"MZI_{n}-run{run+1}\", args)\n",
    "                pending_models.append(mzi)\n",
    "                model_runs.append(run_results)\n",
    "\n",
    "            # Find and keep the best model for each number of photons\n",
    "            index = torch.argmin(torch.tensor([model_run[\"train_mses\"][-1] for model_run in model_runs]))\n",
    "\n",
    "            models.append(pending_models[index])\n",
    "            # Store all runs for this model\n",
    "            results[f\"MZI_{n}\"] = {\n",
    "                \"runs\": model_runs,\n",
    "                \"color\": color,\n",
    "            }\n",
    "        all_results[f\"{name}\"] = {\n",
    "            \"results\": results,\n",
    "            \"models\": models,\n",
    "        }\n",
    "\n",
    "    return all_results"
   ],
   "id": "b6f806890ea4e52e",
   "outputs": [],
   "execution_count": 12
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:36:55.185723Z",
     "start_time": "2025-06-06T18:32:40.893855Z"
    }
   },
   "cell_type": "code",
   "source": [
    "# Training set-up\n",
    "num_photons = [2, 4, 6, 8, 10]\n",
    "colors = [\"blue\", \"orange\", \"green\", \"red\", \"purple\"]\n",
    "std_names = [\"std = 1.00\", \"std = 0.50\", \"std = 0.33\", \"std = 0.25\"]\n",
    "ys_info = {\"ys\": ys, \"names\": std_names}\n",
    "\n",
    "# Hyperparameters\n",
    "num_runs = 3\n",
    "num_epochs = 100\n",
    "batch_size=32\n",
    "lr=0.02\n",
    "betas=[0.8, 0.99]\n",
    "train_circuit = True\n",
    "scale_type = \"learned\"  # [\"learned\", \"1\", \"pi\", \"2pi\", \"/pi\", \"/2pi\", \"0.1\"]\n",
    "circuit = \"general\"  # [\"mzi\", \"general\"]\n",
    "\n",
    "args = Hyperparams(num_runs, num_epochs, batch_size, lr, betas, 0, train_circuit, scale_type, circuit)\n",
    "\n",
    "# Train all models\n",
    "all_results = train_models_multiple_runs(num_photons, colors, delta, ys_info, args)"
   ],
   "id": "61ff7937f75490ea",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Training MZI with 2 photons (3 runs) for Gaussian with std = 1.00:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_2-run1 - Loss: 0.0013, Train MSE: 0.0010: 100%|██████████| 100/100 [00:03<00:00, 27.53it/s]\n"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_2-run2 - Loss: 0.1055, Train MSE: 0.0763: 100%|██████████| 100/100 [00:03<00:00, 32.03it/s]\n"
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    },
    {
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     "output_type": "stream",
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      "Training MZI_2-run3 - Loss: 0.0155, Train MSE: 0.0186: 100%|██████████| 100/100 [00:03<00:00, 31.56it/s]\n"
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    {
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0280], requires_grad=True)\n",
      "\n",
      "Training MZI with 4 photons (3 runs) for Gaussian with std = 1.00:\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "Training MZI_4-run1 - Loss: 0.0020, Train MSE: 0.0013: 100%|██████████| 100/100 [00:03<00:00, 30.35it/s]\n"
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    {
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     "output_type": "stream",
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      "Training MZI_4-run2 - Loss: 0.0010, Train MSE: 0.0007: 100%|██████████| 100/100 [00:03<00:00, 29.89it/s]\n"
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     "output_type": "stream",
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      "Training MZI_4-run3 - Loss: 0.0901, Train MSE: 0.0646: 100%|██████████| 100/100 [00:03<00:00, 28.26it/s]\n"
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    {
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.3703], requires_grad=True)\n",
      "\n",
      "Training MZI with 6 photons (3 runs) for Gaussian with std = 1.00:\n",
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     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "Training MZI_6-run1 - Loss: 0.0033, Train MSE: 0.0013: 100%|██████████| 100/100 [00:04<00:00, 23.00it/s]\n"
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     "output_type": "stream",
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      "Training MZI_6-run2 - Loss: 0.0019, Train MSE: 0.0014: 100%|██████████| 100/100 [00:04<00:00, 22.61it/s]\n"
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     "output_type": "stream",
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      "Training MZI_6-run3 - Loss: 0.0023, Train MSE: 0.0014: 100%|██████████| 100/100 [00:03<00:00, 26.30it/s]\n"
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     "name": "stdout",
     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([-0.0643], requires_grad=True)\n",
      "\n",
      "Training MZI with 8 photons (3 runs) for Gaussian with std = 1.00:\n",
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    },
    {
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     "output_type": "stream",
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      "Training MZI_8-run1 - Loss: 0.0002, Train MSE: 0.0001: 100%|██████████| 100/100 [00:03<00:00, 25.84it/s]\n"
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     "output_type": "stream",
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      "Training MZI_8-run2 - Loss: 0.0431, Train MSE: 0.0331: 100%|██████████| 100/100 [00:03<00:00, 25.60it/s]\n"
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     "output_type": "stream",
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      "Training MZI_8-run3 - Loss: 0.0749, Train MSE: 0.0585: 100%|██████████| 100/100 [00:03<00:00, 25.89it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1766], requires_grad=True)\n",
      "\n",
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    {
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     "output_type": "stream",
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      "Training MZI_10-run1 - Loss: 0.0193, Train MSE: 0.0131: 100%|██████████| 100/100 [00:04<00:00, 23.69it/s]\n"
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     "output_type": "stream",
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      "Training MZI_10-run2 - Loss: 0.0030, Train MSE: 0.0021: 100%|██████████| 100/100 [00:04<00:00, 24.87it/s]\n"
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     "output_type": "stream",
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      "Training MZI_10-run3 - Loss: 0.0021, Train MSE: 0.0015: 100%|██████████| 100/100 [00:04<00:00, 24.24it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([-0.0301], requires_grad=True)\n",
      "\n",
      "Training MZI with 2 photons (3 runs) for Gaussian with std = 0.50:\n",
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    },
    {
     "name": "stderr",
     "output_type": "stream",
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      "Training MZI_2-run1 - Loss: 0.0166, Train MSE: 0.0122: 100%|██████████| 100/100 [00:03<00:00, 28.13it/s]\n"
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     "output_type": "stream",
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      "Training MZI_2-run2 - Loss: 0.0788, Train MSE: 0.0589: 100%|██████████| 100/100 [00:03<00:00, 28.52it/s]\n"
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     "output_type": "stream",
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      "Training MZI_2-run3 - Loss: 0.0155, Train MSE: 0.0104: 100%|██████████| 100/100 [00:03<00:00, 25.32it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1162], requires_grad=True)\n",
      "\n",
      "Training MZI with 4 photons (3 runs) for Gaussian with std = 0.50:\n",
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     "output_type": "stream",
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      "Training MZI_4-run1 - Loss: 0.0023, Train MSE: 0.0017: 100%|██████████| 100/100 [00:04<00:00, 20.69it/s]\n"
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     "output_type": "stream",
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      "Training MZI_4-run2 - Loss: 0.0232, Train MSE: 0.0134: 100%|██████████| 100/100 [00:03<00:00, 26.38it/s]\n"
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     "output_type": "stream",
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      "Training MZI_4-run3 - Loss: 0.0142, Train MSE: 0.0099: 100%|██████████| 100/100 [00:03<00:00, 26.04it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0894], requires_grad=True)\n",
      "\n",
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     "name": "stderr",
     "output_type": "stream",
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      "Training MZI_6-run1 - Loss: 0.0305, Train MSE: 0.0159: 100%|██████████| 100/100 [00:03<00:00, 25.11it/s]\n"
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      "Training MZI_6-run2 - Loss: 0.0172, Train MSE: 0.0107: 100%|██████████| 100/100 [00:04<00:00, 23.86it/s]\n"
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      "Training MZI_6-run3 - Loss: 0.0076, Train MSE: 0.0066: 100%|██████████| 100/100 [00:04<00:00, 22.82it/s]\n"
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0812], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
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      "Training MZI_8-run1 - Loss: 0.0224, Train MSE: 0.0132: 100%|██████████| 100/100 [00:04<00:00, 23.13it/s]\n"
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     "output_type": "stream",
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      "Training MZI_8-run2 - Loss: 0.0177, Train MSE: 0.0127: 100%|██████████| 100/100 [00:04<00:00, 24.39it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0777], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
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      "Training MZI_10-run1 - Loss: 0.0164, Train MSE: 0.0150: 100%|██████████| 100/100 [00:05<00:00, 19.96it/s]\n"
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     "output_type": "stream",
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      "Training MZI_10-run2 - Loss: 0.0027, Train MSE: 0.0018: 100%|██████████| 100/100 [00:04<00:00, 20.98it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1094], requires_grad=True)\n",
      "\n",
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    {
     "name": "stderr",
     "output_type": "stream",
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      "Training MZI_2-run1 - Loss: 0.0319, Train MSE: 0.0242: 100%|██████████| 100/100 [00:03<00:00, 27.01it/s]\n"
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     "output_type": "stream",
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      "Training MZI_2-run2 - Loss: 0.0316, Train MSE: 0.0230: 100%|██████████| 100/100 [00:03<00:00, 27.15it/s]\n"
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      "Training MZI_2-run3 - Loss: 0.0325, Train MSE: 0.0231: 100%|██████████| 100/100 [00:03<00:00, 25.57it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1221], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
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      "Training MZI_4-run1 - Loss: 0.0617, Train MSE: 0.0456: 100%|██████████| 100/100 [00:04<00:00, 23.83it/s]\n"
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      "Training MZI_4-run2 - Loss: 0.0372, Train MSE: 0.0248: 100%|██████████| 100/100 [00:04<00:00, 20.04it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1410], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
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      "Training MZI_6-run1 - Loss: 0.0448, Train MSE: 0.0355: 100%|██████████| 100/100 [00:04<00:00, 24.00it/s]\n"
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      "Training MZI_6-run2 - Loss: 0.0321, Train MSE: 0.0225: 100%|██████████| 100/100 [00:04<00:00, 24.66it/s]\n"
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     "output_type": "stream",
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0568], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
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      "Training MZI_8-run1 - Loss: 0.0235, Train MSE: 0.0169: 100%|██████████| 100/100 [00:04<00:00, 22.81it/s]\n"
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     "output_type": "stream",
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      "Training MZI_8-run2 - Loss: 0.0019, Train MSE: 0.0017: 100%|██████████| 100/100 [00:04<00:00, 22.93it/s]\n"
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     "output_type": "stream",
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      "Training MZI_8-run3 - Loss: 0.0036, Train MSE: 0.0061: 100%|██████████| 100/100 [00:04<00:00, 22.68it/s]\n"
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      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1452], requires_grad=True)\n",
      "\n",
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     "output_type": "stream",
     "text": [
      "Training MZI_10-run1 - Loss: 0.0118, Train MSE: 0.0083: 100%|██████████| 100/100 [00:05<00:00, 17.61it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1109], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_10-run2 - Loss: 0.0665, Train MSE: 0.0497: 100%|██████████| 100/100 [00:05<00:00, 18.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.4000], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_10-run3 - Loss: 0.0043, Train MSE: 0.0032: 100%|██████████| 100/100 [00:05<00:00, 19.93it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1324], requires_grad=True)\n",
      "\n",
      "Training MZI with 2 photons (3 runs) for Gaussian with std = 0.25:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_2-run1 - Loss: 0.0635, Train MSE: 0.0465: 100%|██████████| 100/100 [00:07<00:00, 13.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.2758], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_2-run2 - Loss: 0.0505, Train MSE: 0.0372: 100%|██████████| 100/100 [00:04<00:00, 21.60it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.3713], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_2-run3 - Loss: 0.0377, Train MSE: 0.0263: 100%|██████████| 100/100 [00:03<00:00, 26.09it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1109], requires_grad=True)\n",
      "\n",
      "Training MZI with 4 photons (3 runs) for Gaussian with std = 0.25:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_4-run1 - Loss: 0.0565, Train MSE: 0.0431: 100%|██████████| 100/100 [00:04<00:00, 24.54it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0561], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_4-run2 - Loss: 0.0567, Train MSE: 0.0417: 100%|██████████| 100/100 [00:03<00:00, 26.79it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0214], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_4-run3 - Loss: 0.0411, Train MSE: 0.0281: 100%|██████████| 100/100 [00:03<00:00, 26.08it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0627], requires_grad=True)\n",
      "\n",
      "Training MZI with 6 photons (3 runs) for Gaussian with std = 0.25:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_6-run1 - Loss: 0.0395, Train MSE: 0.0298: 100%|██████████| 100/100 [00:04<00:00, 24.83it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0625], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_6-run2 - Loss: 0.0627, Train MSE: 0.0458: 100%|██████████| 100/100 [00:04<00:00, 24.71it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.4879], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_6-run3 - Loss: 0.0455, Train MSE: 0.0311: 100%|██████████| 100/100 [00:04<00:00, 24.52it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0537], requires_grad=True)\n",
      "\n",
      "Training MZI with 8 photons (3 runs) for Gaussian with std = 0.25:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_8-run1 - Loss: 0.0221, Train MSE: 0.0160: 100%|██████████| 100/100 [00:04<00:00, 21.87it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0780], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_8-run2 - Loss: 0.0249, Train MSE: 0.0144: 100%|██████████| 100/100 [00:04<00:00, 22.29it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.1133], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_8-run3 - Loss: 0.0276, Train MSE: 0.0187: 100%|██████████| 100/100 [00:05<00:00, 19.85it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0833], requires_grad=True)\n",
      "\n",
      "Training MZI with 10 photons (3 runs) for Gaussian with std = 0.25:\n",
      "  Run 1/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_10-run1 - Loss: 0.0477, Train MSE: 0.0364: 100%|██████████| 100/100 [00:04<00:00, 20.74it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0923], requires_grad=True)\n",
      "  Run 2/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_10-run2 - Loss: 0.0302, Train MSE: 0.0173: 100%|██████████| 100/100 [00:04<00:00, 22.59it/s]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.0871], requires_grad=True)\n",
      "  Run 3/3...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Training MZI_10-run3 - Loss: 0.0559, Train MSE: 0.0400: 100%|██████████| 100/100 [00:04<00:00, 22.75it/s]"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After training, scaling factor: Parameter containing:\n",
      "tensor([0.3645], requires_grad=True)\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "execution_count": 26
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 4. Plot training loss",
   "id": "3fcd24f054432e6e"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:37:59.933680Z",
     "start_time": "2025-06-06T18:37:58.986847Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def plot_training_curves(all_results):\n",
    "    \"\"\"Plot training curves for all model variants with average and envelope (only loss shown)\"\"\"\n",
    "    fig, axs = plt.subplots(2, 2, figsize=(8, 8))\n",
    "    i = 0\n",
    "    j = 0\n",
    "\n",
    "    for y_name, results in all_results.items():\n",
    "        axis = axs[i // 2, j % 2]\n",
    "        # Plot each metric\n",
    "        for model_name, model_data in results[\"results\"].items():\n",
    "            color = model_data['color']\n",
    "            linestyle = '-'\n",
    "\n",
    "            # Get data from all runs\n",
    "            losses_runs = [run['losses'] for run in model_data['runs']]\n",
    "\n",
    "            # Calculate mean values across all runs\n",
    "            epochs = len(losses_runs[0])\n",
    "            mean_losses = np.log([sum(run[i] for run in losses_runs) / len(losses_runs) for i in range(epochs)])\n",
    "\n",
    "            # Calculate min and max values for the envelope\n",
    "            min_losses = np.log([min(run[i] for run in losses_runs) for i in range(epochs)])\n",
    "            max_losses = np.log([max(run[i] for run in losses_runs) for i in range(epochs)])\n",
    "\n",
    "            # Plot mean line\n",
    "            axis.plot(mean_losses, label=f\"n = {model_name[4:]}\", color=color, linestyle=linestyle, linewidth=2)\n",
    "\n",
    "            # Plot envelope\n",
    "            axis.fill_between(range(epochs), min_losses, max_losses, color=color, alpha=0.2)\n",
    "\n",
    "        # Customize plot\n",
    "        axis.set_title(f'{y_name}', fontsize=14, pad=10)\n",
    "        axis.set_xlabel('Epoch')\n",
    "        axis.set_ylabel('Log Loss (log MSE)')\n",
    "        if i == 0 and j == 0:\n",
    "            axis.legend()\n",
    "        axis.grid(True, linestyle='--', alpha=0.7)\n",
    "        axis.spines['top'].set_visible(False)\n",
    "        axis.spines['right'].set_visible(False)\n",
    "        i += 1\n",
    "        j += 1\n",
    "\n",
    "    fig.suptitle('Training Loss (MSE) for fitting Gaussians with various STDs', fontsize=14)\n",
    "    plt.tight_layout()\n",
    "    # plt.savefig(\"./results/training_curves_gaussian_kernels.png\")  # To save locally\n",
    "    plt.show()\n",
    "    plt.clf()\n",
    "\n",
    "\n",
    "# Plot training curves\n",
    "plot_training_curves(all_results)"
   ],
   "id": "762fe0dc0fe7fa68",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 27
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "## 5. Visualize learned functions",
   "id": "527bddff55e66378"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:38:12.837305Z",
     "start_time": "2025-06-06T18:38:10.038603Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def visualize_learned_function(results, num_photons, x_on_pi, delta, ys_info):\n",
    "    \"\"\"Visualize learned function of different models to compare them with the target function, a Gaussian\"\"\"\n",
    "    fig, axs = plt.subplots(2, 2, figsize=(8, 8))\n",
    "    plt.subplots_adjust(hspace=0.4, wspace=0.4)\n",
    "    i = 0\n",
    "    j = 0\n",
    "    ys = ys_info[\"ys\"]\n",
    "    y_names = ys_info[\"names\"]\n",
    "    sigmas = [1.00, 0.50, 0.33, 0.25]\n",
    "    circuit_names = [f\"MZI_{n}\" for n in num_photons]\n",
    "\n",
    "    for y, y_name, sigma in zip(ys, y_names, sigmas):\n",
    "        axis = axs[i // 2][j % 2]\n",
    "        y_results = results[f\"{y_name}\"][\"results\"]\n",
    "        y_models = results[f\"{y_name}\"][\"models\"]\n",
    "        for circuit_name, model in zip(circuit_names, y_models):\n",
    "            model_results = y_results[circuit_name]\n",
    "            color = model_results[\"color\"]\n",
    "            model.eval()\n",
    "            with torch.no_grad():\n",
    "                output = model(torch.tensor(delta, dtype=torch.float).unsqueeze(-1))\n",
    "            axis.plot(x_on_pi, output.detach().numpy(), label=f\"n = {circuit_name[4:]}\", color=color, linewidth=1)\n",
    "\n",
    "        axis.scatter(x_on_pi, y, s=10, color=\"k\")\n",
    "\n",
    "        axis.set_xlabel('x / pi')\n",
    "        axis.set_ylabel('y')\n",
    "        axis.grid(True)\n",
    "        if i == 0 and j == 0:\n",
    "            axis.legend(loc=\"upper right\")\n",
    "        axis.title.set_text(f\"std = {sigma}\")\n",
    "        i += 1\n",
    "        j += 1\n",
    "    fig.suptitle(\"Approximating Gaussian kernels of different standard deviations\\nwith 2 mode circuits of varying number of photons\", fontsize=14)\n",
    "    # plt.savefig(\"./results/gaussian_kernel_quantum.png\")  # To save the figure locally\n",
    "    plt.show()\n",
    "    plt.clf()\n",
    "    return\n",
    "\n",
    "\n",
    "visualize_learned_function(all_results, num_photons, x_on_pi, delta, ys_info)"
   ],
   "id": "d623cd7eac9d923a",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 4 Axes>"
      ],
      "image/png": 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"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 28
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "This is not as accurate as we would have wanted but we can work with it. For a standard deviation of 1, our models achieve good results but as we decrease its value, the models achieved worse results, especially the ones with fewer photons. Ideally, this is supposed to show that increasing the number of photons also increases the expressivity of the quantum model.\n",
    "\n",
    "## 6. Application: Using our trained kernel estimators for binary classification\n",
    "\n",
    "### 6.1 Generate data\n",
    "\n",
    "Let's generate some 2D datasets for which our trained Gaussian kernel estimator will be useful. Namely, we will work the circle, moon and blob datasets from sklearn."
   ],
   "id": "416e283d5ad5c9c0"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:40:50.979417Z",
     "start_time": "2025-06-06T18:40:50.968355Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def get_circle(num_samples, noise=0.1):\n",
    "    X, y = make_circles(\n",
    "        n_samples=num_samples,  # number of data points\n",
    "        noise=noise,\n",
    "        random_state=42\n",
    "    )\n",
    "    return X, y\n",
    "\n",
    "\n",
    "def get_moon(num_samples, noise=0.2):\n",
    "    X, y = make_moons(\n",
    "        n_samples=num_samples,  # number of data points\n",
    "        noise=noise,\n",
    "        random_state=42\n",
    "    )\n",
    "    return X, y\n",
    "\n",
    "\n",
    "def get_blobs(num_samples, centers=2):\n",
    "    X, y = make_blobs(\n",
    "        n_samples=num_samples,\n",
    "        centers=centers,\n",
    "        cluster_std=4.0,\n",
    "        random_state=42\n",
    "    )\n",
    "    return X, y\n",
    "\n",
    "\n",
    "def get_visual_sample(x, y, title):\n",
    "    fig, axs = plt.subplots(1, 3, figsize=(20, 6))\n",
    "    axs[0].scatter(x[0][:, 0], x[0][:, 1], c=y[0], cmap='bwr', edgecolor='k')\n",
    "    axs[0].set_xlabel(\"x1\")\n",
    "    axs[0].set_ylabel(\"x2\")\n",
    "    axs[1].scatter(x[1][:, 0], x[1][:, 1], c=y[1], cmap='bwr', edgecolor='k')\n",
    "    axs[1].set_xlabel(\"x1\")\n",
    "    axs[1].set_ylabel(\"x2\")\n",
    "    axs[2].scatter(x[2][:, 0], x[2][:, 1], c=y[2], cmap='bwr', edgecolor='k')\n",
    "    axs[2].set_xlabel(\"x1\")\n",
    "    axs[2].set_ylabel(\"x2\")\n",
    "    axs[0].title.set_text(title[0])\n",
    "    axs[1].title.set_text(title[1])\n",
    "    axs[2].title.set_text(title[2])\n",
    "\n",
    "    # plt.savefig(\"./results/data_visualization.png\")  # To save figure locally\n",
    "    plt.show()\n",
    "    plt.clf()\n",
    "    return"
   ],
   "id": "7a5e05dd7efa9c52",
   "outputs": [],
   "execution_count": 30
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "The next step is scaling the data and separating it to train and test sets.\n",
    "\n",
    "One thing to keep in mind during scaling of the data is that the range of squared distances between points on which we have trained our gaussian kernel model is \\[0, pi**2] since our initial x is defined on \\[0, pi] and the distance is computed between x and zero. So it would be ideal if the scaling of our data takes that into account so our model only receives values within its training domain. To do so, we define a scaling factor adjusted to our situation."
   ],
   "id": "dc3c9b9daf8686d5"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:40:56.558937Z",
     "start_time": "2025-06-06T18:40:55.895949Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def prepare_data(scaling_factor=0.65):\n",
    "    \"\"\"Standardization, type changing and splitting of the data for preparation\"\"\"\n",
    "    x_circ, y_circ = get_circle(200)\n",
    "    x_moon, y_moon = get_moon(200)\n",
    "    x_blob, y_blob = get_blobs(200)\n",
    "\n",
    "    x_circ_train, x_circ_test, y_circ_train, y_circ_test = train_test_split(x_circ, y_circ, test_size=0.4, random_state=42)\n",
    "\n",
    "    # Convert data to PyTorch tensors\n",
    "    x_circ_train = torch.FloatTensor(x_circ_train)\n",
    "    y_circ_train = torch.FloatTensor(y_circ_train)\n",
    "    x_circ_test = torch.FloatTensor(x_circ_test)\n",
    "    y_circ_test = torch.FloatTensor(y_circ_test)\n",
    "\n",
    "    scaler = StandardScaler()\n",
    "    x_circ_train = torch.FloatTensor(scaler.fit_transform(x_circ_train)) * scaling_factor\n",
    "    x_circ_test = torch.FloatTensor(scaler.transform(x_circ_test)) * scaling_factor\n",
    "\n",
    "    print(f\"Circular training set: {x_circ_train.shape[0]} samples, {x_circ_train.shape[1]} features\")\n",
    "    print(f\"Circular test set: {x_circ_test.shape[0]} samples, {x_circ_test.shape[1]} features\")\n",
    "\n",
    "    x_moon_train, x_moon_test, y_moon_train, y_moon_test = train_test_split(x_moon, y_moon, test_size=0.4, random_state=42)\n",
    "\n",
    "    # Convert data to PyTorch tensors\n",
    "    x_moon_train = torch.FloatTensor(x_moon_train)\n",
    "    y_moon_train = torch.FloatTensor(y_moon_train)\n",
    "    x_moon_test = torch.FloatTensor(x_moon_test)\n",
    "    y_moon_test = torch.FloatTensor(y_moon_test)\n",
    "\n",
    "    scaler = StandardScaler()\n",
    "    x_moon_train = torch.FloatTensor(scaler.fit_transform(x_moon_train)) * scaling_factor\n",
    "    x_moon_test = torch.FloatTensor(scaler.transform(x_moon_test)) * scaling_factor\n",
    "\n",
    "    print(f\"Moon training set: {x_moon_train.shape[0]} samples, {x_moon_train.shape[1]} features\")\n",
    "    print(f\"Moon test set: {x_moon_test.shape[0]} samples, {x_moon_test.shape[1]} features\")\n",
    "\n",
    "    x_blob_train, x_blob_test, y_blob_train, y_blob_test = train_test_split(x_blob, y_blob, test_size=0.4, random_state=42)\n",
    "\n",
    "    # Convert data to PyTorch tensors\n",
    "    x_blob_train = torch.FloatTensor(x_blob_train)\n",
    "    y_blob_train = torch.FloatTensor(y_blob_train)\n",
    "    x_blob_test = torch.FloatTensor(x_blob_test)\n",
    "    y_blob_test = torch.FloatTensor(y_blob_test)\n",
    "\n",
    "    scaler = StandardScaler()\n",
    "    x_blob_train = torch.FloatTensor(scaler.fit_transform(x_blob_train)) * scaling_factor\n",
    "    x_blob_test = torch.FloatTensor(scaler.transform(x_blob_test)) * scaling_factor\n",
    "\n",
    "    print(f\"Blob training set: {x_blob_train.shape[0]} samples, {x_blob_train.shape[1]} features\")\n",
    "    print(f\"Blob test set: {x_blob_test.shape[0]} samples, {x_blob_test.shape[1]} features\")\n",
    "\n",
    "    x_train = [x_circ_train, x_moon_train, x_blob_train]\n",
    "    x_test = [x_circ_test, x_moon_test, x_blob_test]\n",
    "    y_train = [y_circ_train, y_moon_train, y_blob_train]\n",
    "    y_test = [y_circ_test, y_moon_test, y_blob_test]\n",
    "\n",
    "    return x_train, x_test, y_train, y_test\n",
    "\n",
    "\n",
    "x_train, x_test, y_train, y_test = prepare_data()\n",
    "# Visualize training data\n",
    "get_visual_sample(x_train, y_train, title=[\"Circular dataset\", \"Moon dataset\", \"Blob dataset\"])"
   ],
   "id": "46e8f3577f27c4a7",
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Circular training set: 120 samples, 2 features\n",
      "Circular test set: 80 samples, 2 features\n",
      "Moon training set: 120 samples, 2 features\n",
      "Moon test set: 80 samples, 2 features\n",
      "Blob training set: 120 samples, 2 features\n",
      "Blob test set: 80 samples, 2 features\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 2000x600 with 3 Axes>"
      ],
      "image/png": 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     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 31
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "### 6.2 Compute kernel value for every pair of data points using our quantum model\n",
    "\n",
    "To do so, we first need the delta (squared Euclidean distance) between each pair of points."
   ],
   "id": "acec3c0a32a1fc57"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:41:09.449778Z",
     "start_time": "2025-06-06T18:41:09.442300Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def calculate_delta(x1, x2):\n",
    "    \"\"\"\n",
    "    Computes squared Euclidean distances between each pair of vectors in x1 and x2.\n",
    "    x1: Tensor of shape (n1, d)\n",
    "    x2: Tensor of shape (n2, d)\n",
    "    Returns: Tensor of shape (n1, n2) with delta[i, j] = ||x1[i] - x2[j]||^2\n",
    "    \"\"\"\n",
    "    # Ensure 2D input\n",
    "    assert x1.ndim == 2 and x2.ndim == 2, \"Inputs must be 2D tensors\"\n",
    "\n",
    "    # Use broadcasting to compute pairwise squared Euclidean distances\n",
    "    diff = x1[:, None, :] - x2[None, :, :]     # shape (n1, n2, d)\n",
    "    delta = torch.sum(diff ** 2, dim=2)        # shape (n1, n2)\n",
    "\n",
    "    # Optional sanity checks\n",
    "    assert delta.shape[0] == x1.size(0), \"First dimension of delta is off\"\n",
    "    assert delta.shape[1] == x2.size(0), \"Second dimension of delta is off\"\n",
    "\n",
    "    return delta"
   ],
   "id": "d29caa6610e91e17",
   "outputs": [],
   "execution_count": 32
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "Calculate the kernel value with our previously defined quantum model.",
   "id": "6777ec8e03be6d8b"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:41:12.377985Z",
     "start_time": "2025-06-06T18:41:12.369130Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def get_kernel(model, delta):\n",
    "    \"\"\"\n",
    "    Efficiently apply `model` to each element in the `delta` matrix.\n",
    "    Assumes model maps a scalar input to a scalar output.\n",
    "    \"\"\"\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        flat_input = delta.view(-1, 1)  # shape (n1 * n2, 1)\n",
    "        output = model(flat_input)     # shape (n1 * n2, 1) or (n1 * n2,)\n",
    "        kernel_matrix = output.view(delta.shape)\n",
    "    return kernel_matrix"
   ],
   "id": "ab3497f1308b6abc",
   "outputs": [],
   "execution_count": 33
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### 6.3 Use a linear SVM for classification",
   "id": "2593e0bcce50d3c"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:41:20.078916Z",
     "start_time": "2025-06-06T18:41:20.069022Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def train_svm(k_train, k_test, y_train, y_test):\n",
    "    clf = SVC(kernel='precomputed')\n",
    "    clf.fit(k_train.numpy(), y_train.numpy())\n",
    "\n",
    "    y_pred = clf.predict(k_test.numpy())\n",
    "    accuracy = accuracy_score(y_test.numpy(), y_pred)\n",
    "    return accuracy"
   ],
   "id": "cda24a9639f09f1c",
   "outputs": [],
   "execution_count": 34
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### 6.4 Run the training and collect the test accuracies",
   "id": "81c077177f1426a"
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:41:27.099502Z",
     "start_time": "2025-06-06T18:41:24.927975Z"
    }
   },
   "cell_type": "code",
   "source": [
    "accs = {\"circular_acc\": [], \"moon_acc\": [], \"blob_acc\": [], \"std_name\": [], \"n_photons\": []}\n",
    "\n",
    "std_names = ys_info[\"names\"]\n",
    "for std_name in std_names:\n",
    "    for i in range(5):\n",
    "        n_photons = (i+1) * 2\n",
    "        model = all_results[std_name][\"models\"][i]\n",
    "\n",
    "        # Calculate delta\n",
    "        delta_train_circ = calculate_delta(x_train[0], x_train[0])\n",
    "        delta_test_circ = calculate_delta(x_test[0], x_train[0])\n",
    "        delta_train_moon = calculate_delta(x_train[1], x_train[1])\n",
    "        delta_test_moon = calculate_delta(x_test[1], x_train[1])\n",
    "        delta_train_blob = calculate_delta(x_train[2], x_train[2])\n",
    "        delta_test_blob = calculate_delta(x_test[2], x_train[2])\n",
    "\n",
    "        # Calculate kernel\n",
    "        kernel_train_circ = get_kernel(model, delta_train_circ)\n",
    "        kernel_test_circ = get_kernel(model, delta_test_circ)\n",
    "        kernel_train_moon = get_kernel(model, delta_train_moon)\n",
    "        kernel_test_moon = get_kernel(model, delta_test_moon)\n",
    "        kernel_train_blob = get_kernel(model, delta_train_blob)\n",
    "        kernel_test_blob = get_kernel(model, delta_test_blob)\n",
    "\n",
    "        # Train SVM\n",
    "        circular_acc = train_svm(kernel_train_circ, kernel_test_circ, y_train[0], y_test[0])\n",
    "        moon_acc = train_svm(kernel_train_moon, kernel_test_moon, y_train[1], y_test[1])\n",
    "        blob_acc = train_svm(kernel_train_blob, kernel_test_blob, y_train[2], y_test[2])\n",
    "\n",
    "        accs[\"circular_acc\"].append(circular_acc)\n",
    "        accs[\"moon_acc\"].append(moon_acc)\n",
    "        accs[\"blob_acc\"].append(blob_acc)\n",
    "        accs[\"std_name\"].append(std_name)\n",
    "        accs[\"n_photons\"].append(n_photons)"
   ],
   "id": "e395daddc535d8bf",
   "outputs": [],
   "execution_count": 35
  },
  {
   "metadata": {
    "ExecuteTime": {
     "end_time": "2025-06-06T18:42:41.391474Z",
     "start_time": "2025-06-06T18:42:39.785607Z"
    }
   },
   "cell_type": "code",
   "source": [
    "def visualize_accuracies(results):\n",
    "    fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "    plt.subplots_adjust(hspace=0.4, wspace=0.3)\n",
    "\n",
    "    stds = sorted(set(accs[\"std_name\"]))\n",
    "    datasets = [\"circular\", \"moon\", \"blob\"]\n",
    "    colors = [\"red\", \"blue\", \"green\"]\n",
    "    bar_width = 0.25\n",
    "\n",
    "    for i, std in enumerate(stds):\n",
    "        axis = axs[i // 2, i % 2]\n",
    "\n",
    "        # Get data for this std\n",
    "        std_indices = [j for j, s in enumerate(accs[\"std_name\"]) if s == std]\n",
    "        n_photon_vals = sorted(set([accs[\"n_photons\"][j] for j in std_indices]))\n",
    "\n",
    "        # Collect bars for each dataset\n",
    "        positions = np.arange(len(n_photon_vals))\n",
    "        for k, dataset in enumerate(datasets):\n",
    "            y_vals = []\n",
    "            for n in n_photon_vals:\n",
    "                idx = next(j for j in std_indices if accs[\"n_photons\"][j] == n)\n",
    "                y = accs[f\"{dataset}_acc\"][idx]\n",
    "                y_vals.append(y)\n",
    "\n",
    "            x_pos = positions + k * bar_width\n",
    "            bars = axis.bar(x_pos, y_vals, width=bar_width, label=dataset.capitalize(), color=colors[k])\n",
    "\n",
    "            for bar in bars:\n",
    "                height = bar.get_height()\n",
    "                axis.text(\n",
    "                    bar.get_x() + bar.get_width() / 2,  # x position: center of the bar\n",
    "                    height + 0.01,                      # y position: slightly above the bar\n",
    "                    f\"{height:.2f}\",                    # format to 2 decimal places\n",
    "                    ha='center', va='bottom', fontsize=6  # alignment and font size\n",
    "                )\n",
    "\n",
    "        # Axis formatting\n",
    "        axis.set_title(f\"{std}\")\n",
    "        axis.set_xticks(positions + bar_width)\n",
    "        axis.set_xticklabels([str(n) + \" photons\" for n in n_photon_vals], rotation=45)\n",
    "        axis.set_ylabel(\"Accuracy\")\n",
    "        axis.set_ylim(0, 1)\n",
    "\n",
    "    plt.suptitle(\"Accuracy on different datasets by an SVM\\nin function of photon count and std of gaussian kernel\", fontsize=14)\n",
    "    # Add a global legend on the right\n",
    "    handles, labels = axs[0, 0].get_legend_handles_labels()  # or any axis with plotted bars\n",
    "    fig.legend(handles, labels, loc='center left', bbox_to_anchor=(1.0, 0.5), title=\"Dataset\")\n",
    "\n",
    "    plt.tight_layout(rect=[0, 0, 0.95, 1])  # Leave space on the right for the legend\n",
    "    # plt.savefig(\"./results/svm_accuracies_quantum_kernel.png\", bbox_inches='tight')  # To save locally\n",
    "    plt.show()\n",
    "    plt.clf()\n",
    "    return\n",
    "\n",
    "visualize_accuracies(accs)"
   ],
   "id": "332fddbd263214a6",
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ],
      "image/png": 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4q4H369fPKVmypBMZGWlW/x8/frxz8uRJcxsxYoSZ19qzZ89rvoYXEDM78X/WPn36OIULF3by58/vZM6c2cRmx44d5rGFCxeaXQBatGjheB0xc4/uMlGgQAGnRIkS5mvx4sWdqKgo89iXX37pNGnSxOw8sXjx4kBfKlIx8oI9YmaP3GCPmLmDXAoEBsWWEKGNmYiICOe///2vWRhsyJAhTrZs2Zy+ffuaIYBHjhxxRo4cGdcIAjGzNW7cOBOv5cuXOzt37nSmT59uFjrUhdR+++03swiiNnYyZszo9O/fP9CXGxSIWdLoYpo6PHzTpk1mWoLedPvJfPnyOdu3bzfnrF692gyBfu655wJ9uQgB5AV7xMweucEeMfMfuRQIHIotIVDx//vvv526des6gwcPTvDY1KlTnbCwMOf999839/XD9d133/X8/EtiZh8vne/78MMPOy+88EKCxzRO2sOkjSClvZjxV/z3KmLmzrzyQYMGmd62yx+78847ndtvvz3u/ubNmz279gPcQV6wR8zskRvsETN75FIgeHhnkmyI0nnPOhfzwIEDEh4ebo7pXEzVsWNHadmypbz55pty/vx5yZMnj7Rp0yZuNXavImZ2Tp06ZeKl83l9MfDF65FHHpHWrVvLhAkTzA4UWbNmTbDiv1cRM//45pUfPXrUfD1y5IjZzcT3mL53Ve/eveWPP/6Q3bt3m/uVKlWK2ykB8Ad5wR4xs0dusEfM7JFLgeBBsSWV0YWsfEnmtddek88++8wscKXb3OlCdIcPHzaLzmnjRuXOndssVufbetHHSwtdETM7y5cvN40W9fLLL8uMGTPM97rw3OzZs+X333838fI1ZPLnzy+RkZGSMWNGT8ZLEbOkWblypXkvqmeffVb69+9vvm/Xrp1ZCHHw4MHmvi9eGku9Xf4e9dIim0ga8oI9YmaP3GCPmPmPXAoEHzZLT0X27NkjXbp0kRIlSki+fPlk0qRJsnnzZvPY008/LTt27JDmzZvLokWL5KabbjKJaOPGjVKsWDHxKmJm5+DBg9KzZ0+zgv9dd90l06dPl++++848piv9f/PNN1KrVi1ZtmyZaeBogv7kk09M7LyanIlZ0uiOJdqA1l63Dz/8UNatWydRUVHmsZIlS0qrVq3MH3Xau9mvXz8T7/Hjx0vhwoXNThSALfKCPWJmj9xgj5j5j1wKBKlAz2PC9Tt//ryzYMECs8icrsL+7bffxs1n1ZsuTnfXXXc52bNnd2rXru1UrlzZLB6mi4b5zvMaYmZHf96NGzc6N954o5MpUybnm2++Mcd98fjxxx+dRo0amVhWqFDB3MqXL+/ZeClilnQHDhxwKlas6KRJk8YZOHDgFY+9+uqrTpEiRZwsWbI4pUqVcqpVqxYXP+aXwxZ5wR4xs0dusEfMkoZcCgSfNPqfQBd88O90/qRW7VevXi1PPPGEmZdaoUIFU/XX75X+rzx06JAsXLjQDOfV4bvdunWT9OnTy4ULF8xXLyFmdjQWadKkka1bt0qzZs3MENwbbrhBVqxYIdmyZUtw7vz5881cYB1+2r59e3Ou1+KliJk771MdFt6nTx/566+/5M8//zRrOzz11FNx5+jUBZ2a8OWXX0rOnDmlWrVqxA9+IS/YI2b2yA32iFnSkEuB4ESxJZU0cnyOHz8up0+flrVr18qYMWPM8L85c+ZIlixZrvoaOpzXS3NXiVnS4qU0SeuCaTo8XGkjO35jR5N1/Dm+XoqXImbux0/9+uuvZk75zz//bOaY+xqJmqZ0iLT+Aefj5fjBHnnBHjGzR26wR8z8Ry4Fgh/FllTyIbpp0ybzIamLWpUrV84kmnnz5pmV/nVOtM7TzJQpk0lMDz74oDRs2FC8iJj5Hy+dC629Idpw1oXofAsidu3a1SRiX+/Sk08+KTVq1JBOnTrF9UR5CTFzL34ffPCBREdHm5g0bdpUihYtahrYQ4cOlV27dsmjjz4qzz33nNStW1eqVq0qw4cPD/TlIxUiL9gjZvbIDfaImf/IpUAqEeh5TEhc/HmnvXv3dgoXLuwULFjQzGF97rnnnH379pn5lXPmzHGqVq1q5kbXqVPHyZ8/v5lb7UXEzH+9evUycShWrJiTNm1ap0WLFs66devMY/pV4xUREeHceeedTqFChTwfL0XMkqZHjx5Ovnz5nCpVqpj3or5P586dax775ZdfnKeeesq8hzW+5cqVi5tXDtggL9gjZklDbrBHzPxHLgWCG8WWIDdu3DiTYNauXWsWBlu8eLG536ZNG+fYsWPmQ3P58uXOCy+84HTp0iUuAV24cMHxKmJmZ8qUKU7u3LmdqKgoJyYmJq5h07hxY2fTpk3mnJ07dzpDhgxxBgwY4Pl4KWKWNB988IF5T2qs/vrrL+fs2bPm/RgeHm4W2lTR0dHOmjVrnJkzZ8bFjQY2/EVesEfM7JEb7BEz/5FLgeBHsSXItWzZ0vQkxffVV1+ZyvXw4cMTfY7XP0SJmZ3OnTs7rVu3TtCj+cMPPzjFixd3unbtmuhzvN7IIWZJM3HiRKdWrVomJvHj0rFjRycyMtI5evToFc8hfkgK8oI9YmaP3GCPmPmPXAoEP29vSh/EdMEqnRetK4vrvMz4x+68807p27evvPPOO2ahK11FPD6vrihOzOxobNTJkyfl7Nmz5nuNm8amSpUqZkX7uXPnmh0mfOf6eHUxNWLmjjNnzsi2bdvMXHuNiy+WOhdf46lzzy9H/OAP8oI9YmaP3GCPmCUduRQIfhRbgoCOMPI1aOJ/GOpK640bNzaNmvXr15tjvg/JzJkzS0REhNl20YuNG2LmTrxUvXr1ZPHixbJy5coE8dIFD3XxQ12szovJmZglnf5x5hN/LfZHHnlEIiMjpXPnzmZ3E1140xc/vQH+IC/YI2b2yA32iFnSkEuB1IvdiALs8pXU16xZY6r8FSpUMB+gR48eNSv86/Zt06ZNMyuw62rt+gGbI0cOsyOA11ZiJ2ZJ2xrw448/lmPHjplGjK5KHx4eLh06dJAFCxbIe++9Z+KlDeg2bdqYrx999JGn4qWIWdL89ttvZltYn7ffflu2b98uxYsXN7uV5M2bVyZOnGh6LQsUKCBDhgwx7+FXXnnF9Jbrezqx7SyBqyEv2CNm9sgN9oiZ/8ilQAgI9DwmL3vppZec0aNHx93XRa10NfasWbM6t956q/PGG2+Y+c/btm0zK7OnS5fOqVChglltXL/6VhSPv3NAqCNmdnQniWeeecbsHOGLV548eZy8efOaeOh8fF1U7cSJE+b7DBkyOEWLFnVKlSrlVK5cOS5evud7ATFLmk6dOjlNmjQxC2qqgQMHOlmyZHHq1atn3o9NmzZ11q9fb+Ize/Zsp1q1ak769OnNe1R3mvB6/GCPvGCPmNkjN9gjZv4jlwKhwXvjP4PEqVOn5IcffjC9RDfccIPcfPPN8vXXX8v7778vefLkkZEjR5peIx0W+OKLL8r8+fNNb8DevXslW7Zs8thjj5lhlTq31SvDeImZ/Vxe7eHYuHGjDBgwQJo1ayZbt26Vzz77TPLnzy9z5swxQ3e7dOkiEyZMkPHjx0vz5s3l4MGDJj7aa+KleClilnQNGzaU559/XkaNGmV6Jrds2SIrVqwwvZWbN282PZiDBw+Wfv36Sbt27cwtKipKcuXKJSVKlDC9cF6OH+yQF+wRM3vkBnvELGnIpUBoYBpRAIfu6hDdZ599Vv78808pWbKkGUqpH6q+JKUfoOvWrZMHHnhAevbsaeZJx6cLhnllHisx8y9e2tB57bXXTENaG9E6n3f27NkmCZ87d06mTJki7777rpQpU0befPNN0/D2YrwUMXMvhl988YV06tTJDBHXP+x0eHj27NnNOd9//7089dRTUrBgQenatavcd9991xxyDlwNecEeMbNHbrBHzJKGXAqEkEAPrfEq37C+I0eOmCG62bJlc+rWrZvgHB1a2b17d+f22283Qy/Pnj3reBkx8y9esbGxZiivDs3VYbnxaXzGjx9v4tW4cWPnzJkzjpcRs6TRKQW+aQXLli1zChYs6OTKlctZt25dgvN0W8/bbrvNDHXesGFDgK4WoYC8YI+Y2SM32CNm/iOXAqGDkmcK863G7qs263C/t956S5o0aSK//vqrWejKt8WdriQ+dOhQKV26tKlo6+4AXkTMkhYvHfb90ksvmWGouiidDgv3rWwfFhZmVrHX3kvtddL7XkTM3Imf9sT5FjLUHSZmzZplesQnT55sho/76Lae48aNM9MXKleuHLDrRupFXrBHzOyRG+wRM/+RS4HQwzSiFBR/SN/u3bvNUEBt2GiC0aG8OqQ3OjpaHn/8cTNs0HeuDrXUho5+8F6+e0CoI2b+x2vbtm0mOev9IkWKmAbz8OHDzZzfe++916xa75vLq/N6daiuxslrQ0+JWdLE/9lXrVolsbGx5v1ZqVIls2Xnf//7XzMn/5577pEePXqYnU6u9RrAvyEv2CNm9sgN9oiZ/8ilQIgK9NAaL+rTp49TokQJp1ChQk6lSpWchQsXmuN//vmnGdJ7xx13OFOmTLliBXEvryhOzOz06tXL7CyhQ0/z5ctndpZQp06dcvr27etUr17d7Eahu03E56WdJS5HzOzF/9l1qkHu3Lmdm266yewkUaVKFScmJsY89vHHHzuFCxd2nnzySYY6wzXkBXvEzB65wR4xs0MuBUIXxZYU/hDVho1+gC5ZssRs1da1a1cnbdq0Zs6qOnTokNOqVSvn5ptvdpYuXep4FTHzP15ffPGFadx8/vnn5vvXX3/dSZMmjWn8qOPHj5tGTrFixZxJkyY5XkXM3IvfqlWrzFz8qKgoZ9++fSaOOoc8MjLSOXz4sDnn008/dTJmzOgMHTo0gFeN1Iy8YI+Y2SM32CNm/iOXAqGNYksK+uSTT5zOnTs7Y8aMSXB81KhRJhGtWLEirsEzaNAg58KFC47XETM7b7/9tmlAv/zyywmOL1iwwMTrvffeM/ePHTvmTJ482fPxUsQsad5//32nbdu2Tvv27RMc/9///ufUqFHDad68edzimt999x3xQ5KRF+wRM3vkBnvEzH/kUiA0UWxJIRs3bjRDAbNnz24aN75qtg7N/fvvv50HH3zQ6dixo/k+Pi9/mBIzO7t27XLuueceJ3PmzE6PHj3iYuEbptuhQwfn/vvvN8N44/NqvBQxSxrdsaRBgwZOlixZTGPwciNGjDBTFbRhHR/xg7/IC/aImT1ygz1i5j9yKRC6WEUphdxyyy3yzDPPSP78+c2q4rt27YpbbTxjxoySM2dOOXLkiPk+Pl0wzKuImZ3ixYtLr169pEaNGjJ79myzYr3GIv7OE7p4mi60Fp9X46WIWdLojiVz586VFi1ayN69e2XMmDFmQU0f3cnkr7/+kpMnTyZ4HvGDv8gL9oiZPXKDPWLmP3IpELootqTgVm5PPvmk9OnTR2644Qaz9d1vv/1mGjtnz541uwNEREQE+lKDBjGz49tUrEGDBmaLRW1c664S2tjReJ05c0bWr19vGjv4BzFz532qf6iNHj3a7JCwcOFCs12s7m6yc+dOefPNNyUyMlIKFiwY6EtFCCAv2CNm9sgN9ohZ0pBLgdDF1s/J5PItEuNvxzZjxgzzwXngwAGpWrWqafxs375dNm7caLZY9Nr2ildDzBKnvR1hYWFXHI8fgy+++EJeffVV+e6776RcuXJSvnx52bJli2ns6HO9FK9r/V4RMzuJxcAXz6NHj0rXrl1l8eLFpkF92223mXO1ty48PJwtKeEXcmnSEbOrI58mDfnUP+RSwDt4t7ro4sWL8vfff5vvL/8Q1Q9GXw9Thw4dpGfPnpI3b14zdFd7An788UfT0Dl//rynEtC3334rmzdvTvQxYnYl7e3Qno+YmJgrHtMY+Gqn999/vwwaNMj0kBw/flwaNmxo4qyNHC/FS/3yyy/yww8/yLZt2+J+r3xxImb/Tqcc7NixQ/bs2ZMgBr64+d6nN954o0yYMMEMg9YeOh1KPn/+fNM41N5zGoe4XuRSe+RSe+RTe+RT/5FLAY8K9KIxoUK3UmzdurVZhO6FF15wYmJiEj1PF6TzmTZtmlO3bl2z1eLvv/9+xRZwoe7LL780q9Prz//9999f9Txi9o/p06c7mTJlMgscHjlyJMFj8WMQ/3vdIrBx48ZO9erVnR07dlwRz1A3a9Ysp0yZMk6ePHnMdoqX78ThQ8wSN2PGDLPlZPHixZ106dI5Tz/9tLN69epE4+aL0dGjR51HH33UueOOO8z79dy5cwG5dqRO5FJ75FJ75FN75FP/kUsB76LY4lICypkzp2kY9unTx6z4f/nWbddq8NSuXdtp1KiRs3fvXsdLdCvAsLAws3r9448/7mzYsOGqq6x7PWbffvutU6BAAWfevHnm/pkzZ8wWnfEbifHjFT9xL1u2zOw2UapUKbOFoJd+v3Rl/7lz55rfrSeeeMKpX79+gtgQs6vThmC2bNmcOXPmONu3b3cWLlzo3HbbbU6dOnWc+fPnX7OR+OeffzqPPfaYU7ZsWfP5CFwPcql/yKV2yKf2yKf+I5cC3kaxJYm++uorp1ixYs7bb78dd2zt2rVOjhw5nK1bt171efEbPG+++abTsGHDuN4lr9DGXdu2bU0Sv/XWW502bdo4e/bsuep2dl6O2UcffWR+XrV582bTONaGS7Vq1ZzOnTsnGqP4iVuf37x5c+fXX391Qp3+3CdOnDCNO982p77eX+3F1fesNrb/rYHopZglRnst77rrrgTHNG5NmzZ17r77bueTTz5J9Hm+30H9w0W3+vRq/GCHXOo/cqkd8un1I58mHbkU8DaKLUmgSeW1115zHn74YSc2NjbuwzE6OtoMF9Qkfi3xE/mxY8ccL9EkvHv3btO4Pn78uGkk1qhRw1TwtTdTezYT49WYvfrqq07VqlWd06dPO+XLl3e6detmYjZs2DCnYsWKZphuYuI3dk6dOuV4hf7c+vukcfKpV6+e6c3Mly+fiaHev9pzvRizy7311ltOuXLlnIMHDyaIi05T0B45neqh78HEph74GtxeHC4Oe+RS/5FL7ZFP7ZBPk4ZcCngbqywlge5v36xZM2nSpIlky5bNHNNFr/LkySOZM2eW06dPX/P58Rety5Ejh3iJFvqKFStmVqnfu3evPProo2b19SVLlkiWLFmkfv36iT7PqzG77777zAKGo0aNkuLFi5uF5zRmvXr1kgEDBkh0dLSsWbPmiufFX7BO4+oVuohc5cqVzaKRusicLtKnC/stW7bM7I7w+uuvy759+2TSpElXPNerMbtc2bJlzXvz888/N/d9MdEdTHr37m0W7NMFDxNb6FA/GxUL+eF6kEv9Ry61Rz61Qz5NGnIp4G28e5NIE3Xbtm3j7uuHpX446k4Kun2bz7Bhw8y2d5fz6gdo/K0CN23aZL6OHDlSChUqZBrYmnw0iV/ruV5SuHBh83XMmDFy8OBBs0K9Sp8+vdx1111mG09tICbGi6v+66r9L730kjRt2tRsm6iNxbFjx5rtJyMjI6V69ermPN0lITFejJmPryF49913y3PPPSedOnWS1atXJ/jjrE6dOqYBqbuYAG4gl/qHXGqPfGqHfOofcikA5c1Mm8wfrhcuXJCMGTNKrly5zLF69erJlClTTGJCwiRUs2ZN2blzp/mqPZqacPr16yerVq2SL774ItCXGTR0m87p06ebbRO14Txnzpy4x7S3qFSpUma7QPwfbQRqr5Fuc6q/b/EbgtqrqfEiZv/46quvJCoqyjQAtWGsW+8q7eVt2bKlNGrUSJYuXRrXQIyNjTXn+P5IAdxGLr0+5FJ75FN75NPrQy4FcLn0VxxBkugHqDYQNWHrB6j2BGgPya5du0wvnT7u1d6kxHo6KlWqJA8++KCp/GsPnMbokUceMYlHj+H/aO+H9oo0btxYRo8ebRqJd955p8ycOdMMs2/QoEGgLzHoaKPw3Llz5o+Pzz77TPLnzy+5c+c2f4ScOXNG/vOf/4jX6fuudevW5r2of4DceuutcUOXdQqH9mBq/HSYffPmzc2Ugx07dpheYG08AsmBXHp9yKX+IZ/aI59eG7kUQGLS6MItiT4Cv2kDsWLFivLrr7+a3oCffvrJVP71uH6o4v/oEHGd93v77bebpK2/jvGHnGoj25es8I/du3fL1KlTTdy0IR0RESHz5s0zv2PEK3E6vF4bNydPnjTx0kbip59+6vmYbdu2TZ544gnT27Z48WLz3tM/NqpUqXLF0G9tSGoP+ZEjR8wUhTfeeMPz8UPyIpdeP3Kpf8in9sinVyKXArgaii3J4MSJE2YYqg591kWvtFFI4xDJMcRee5l8i87xO3Zt+/fvN4vUaaNGF6bTXnGvx0wXPNSGX/fu3aVgwYJSoUIFE48ZM2bENRLjjyC4PF5ejx+SF7kUKYF8ao98mhC5FMDVUGxJxt4SXYSNxiFSwuW9mPh3TEMQM/Q7JiZGihYtGtc7rg1DXyNRG9Hq1KlTkjVr1gTP5XcOKYFcipTGZ5s9r+dTcimAq6HYksxoHAJIDbRXVxeM1K+33HKL+dyaNWuW5MuXT1588UWzOOljjz0W6MuER5FLAaQG5FIA8VFsAQAk+INWG4m+oc96TG/bt2/nj10AAP4FuRSAj3fH/AEAEtAGoC7Sp71yuuChLvqni0bqwqS+xwAAwNWRSwH4MLIFAJDA4cOHza4KugXqli1bWC8DAABL5FIAjGwBACRw7NgxKVOmDDvAAADgJ3IpAEa2AACuujsCjUMAAOyRSwFQbAEAAAAAAHAR04gAAAAAAABcRLEFAAAAAADARRRbAAAAAAAAXESxBQAAAAAAwEUUWwAAAAAAAFxEsQUAAAAAAMBFFFsAAAAAAABcRLEFAAAAAADARRRbAAAAAAAAXESxBQAAAAAAQNzz/wALB3UPjo2i/AAAAABJRU5ErkJggg=="
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "execution_count": 37
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": [
    "Thus, we see that the approximated Gaussian kernels are useful for classification since none of these datasets would have allowed a linear SVM to reach accuracies of this height. There is not clear tendency within these results. However, one could say that models with 8 or 10 photons yield better results. Also, the results on the blob dataset seem to be better with kernels of bigger std. Finally, we can observe that the best results are reached by approximating a Gaussian of std = 0.33 with 8 photons.\n",
    "\n",
    "Further analysis would be required to discover the advantages of using a quantum layer instead of calculating the Gaussian kernel directly."
   ],
   "id": "f8f5071a65147c22"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}