{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "6471ed50-4a55-4e5f-9a6f-04c0c4a9c666",
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from matplotlib.lines import Line2D\n",
    "from matplotlib.ticker import AutoMinorLocator, MultipleLocator\n",
    "from mpl_toolkits.axes_grid1.inset_locator import inset_axes, zoomed_inset_axes\n",
    "import matplotlib.patheffects as pe\n",
    "import matplotlib\n",
    "from matplotlib.patches import FancyBboxPatch\n",
    "\n",
    "import matplotlib.gridspec as gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0722f880-aea9-495f-8994-314a9fcff426",
   "metadata": {},
   "outputs": [],
   "source": [
    "ω1 = 5.0311\n",
    "ω2 = 5.8899\n",
    "ωtb = 7.445\n",
    "ωtb_red = ωtb*0.9405\n",
    "α1 = -0.235\n",
    "α2 = -0.324\n",
    "ω_ϕ = 0.8506"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6bff992b-1592-40c1-baf1-3ab5be536774",
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.rcParams.update(\n",
    "    {\n",
    "        \"text.usetex\": True,\n",
    "        \"text.latex.preamble\": r\"\\usepackage{amsmath}\",\n",
    "        \"font.family\": \"serif\",\n",
    "        \"font.serif\": [\"Computer Modern Roman\"],\n",
    "        \"font.size\": 10,\n",
    "    }\n",
    ")\n",
    "\n",
    "π = np.pi\n",
    "ϕ = 0.5 * (1 + np.sqrt(5))\n",
    "\n",
    "columnwidth = 246 * 1 / 72.27  # 246pt to inch\n",
    "textwidth = 510 * 1 / 72.27  # 510pt to inch"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77b096e6-77b7-4389-9135-a57338a713d0",
   "metadata": {},
   "source": [
    "----"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f9855738-268c-45de-a747-f7264ed1246f",
   "metadata": {},
   "outputs": [],
   "source": [
    "df_vary_theta = pd.read_pickle(\"mckay_optimized_vary_theta.pickle\")\n",
    "df_vary_theta_slice = pd.read_pickle(\"mckay_optimized_vary_theta.slices.pickle\")\n",
    "df_vary_omega = pd.read_pickle(\"mckay_optimized_vary_omega.pickle\")\n",
    "\n",
    "df_res = pd.read_csv(\"mckay_optimizations.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3f93efe6-c370-4b01-9487-e1f78136ae77",
   "metadata": {},
   "outputs": [],
   "source": [
    "imgfldr = Path(\"images\")\n",
    "imgfldr.mkdir(exist_ok=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5efc4dba-2279-4b0c-b3d2-4785612a6c29",
   "metadata": {},
   "source": [
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "00cdb2de-a3fe-4285-a8e5-b50ff49685b4",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_J_T_PEs(w_u):\n",
    "    def J_T_PE_0(row):\n",
    "        return np.amin(w_u * row.du0 + (1 - w_u) * row.pe0)\n",
    "\n",
    "    def J_T_PE_1(row):\n",
    "        return np.amin(w_u * row.du1 + (1 - w_u) * row.pe1)\n",
    "\n",
    "    def J_T_PE_01(row):\n",
    "        return np.amin(\n",
    "            w_u * row.du0 + (1 - w_u) * row.pe0 +\n",
    "            w_u * row.du1 + (1 - w_u) * row.pe1 +\n",
    "            row.simil\n",
    "        )\n",
    "\n",
    "    return J_T_PE_0, J_T_PE_1, J_T_PE_01"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c4058cae-52aa-4d37-bb96-e00dd90a9598",
   "metadata": {},
   "outputs": [],
   "source": [
    "w_unitarity = 0.8\n",
    "w_unit_tot = 0.8\n",
    "J_T_PE_0, J_T_PE_1, J_T_PE_01 = get_J_T_PEs(w_unitarity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "f859c156-685a-4d0f-a1f8-6ff67dad5a49",
   "metadata": {},
   "outputs": [],
   "source": [
    "myccolorycler = plt.cm.plasma_r(np.linspace(.2,1.0,len(df_vary_theta.theta.unique())))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b254dcb2-8884-47bd-9d85-57921713ec24",
   "metadata": {},
   "outputs": [],
   "source": [
    "theta_sel = -.108\n",
    "df_orig = df_vary_theta[df_vary_theta.theta==theta_sel]\n",
    "\n",
    "w_min = []\n",
    "df_orig_JPE = df_orig.apply(J_T_PE_01, axis=1).to_numpy()\n",
    "df_orig_w3 = df_orig.ω3.to_numpy()\n",
    "for w, j in zip(df_vary_omega.ω3.to_numpy(), df_vary_omega.apply(J_T_PE_01, axis=1).to_numpy()):\n",
    "    wi = np.argmin(np.abs(w-df_orig_w3))\n",
    "    w_min.append(\n",
    "        min(j, df_orig_JPE[wi])\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "d13880d5-d102-4e00-aa0d-e1086efabc3f",
   "metadata": {},
   "outputs": [],
   "source": [
    "res_min = df_res.iloc[df_res.sort_values(\"ω_3\").groupby(\"ω_3\")[\"J_min_full\"].idxmin()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "dac06ec1-3d79-4641-81b9-840cba1a0c56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 705.687x493.981 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(textwidth, textwidth*0.7))\n",
    "\n",
    "gs0 = gridspec.GridSpec(2, 1, figure=fig, height_ratios=[1, 2], hspace=0.25)\n",
    "gs00 = gridspec.GridSpecFromSubplotSpec(2, 1, subplot_spec=gs0[1], hspace=.05)\n",
    "\n",
    "ax0 = fig.add_subplot(gs0[0] ,)\n",
    "ax1 = fig.add_subplot(gs00[0], sharex=ax0, sharey=ax0)\n",
    "ax2 = fig.add_subplot(gs00[1], sharex=ax0, sharey=ax0)\n",
    "plt.setp(ax0.get_xticklabels(), visible=False)\n",
    "plt.setp(ax1.get_xticklabels(), visible=False)\n",
    "\n",
    "axs = np.array([ax0,ax1,ax2])\n",
    "\n",
    "α3 = -0.100\n",
    "\n",
    "c_sr = \"dodgerblue\"\n",
    "α_sr = 0.9\n",
    "\n",
    "df_g = df_orig\n",
    "for i, ax in enumerate(axs):\n",
    "    ax.plot(\n",
    "        df_g.ω3,\n",
    "        df_g.apply(J_T_PE_01, axis=1),\n",
    "        label=f\"\",\n",
    "        ls=\"-\",\n",
    "        alpha=0.6,\n",
    "        c=\"gray\",\n",
    "    )\n",
    "    for omega_i, alpha_i in zip([ω1, ω2], [α1, α2]):\n",
    "        ax.axvline(omega_i, ls=(0,(2,.5)), c=c_sr, alpha=α_sr)\n",
    "        ax.axvline(omega_i - α3, ls=\"--\", c=c_sr, alpha=α_sr)\n",
    "        ax.axvline(omega_i + alpha_i, ls=\"-.\", c=c_sr, alpha=α_sr)\n",
    "\n",
    "\n",
    "#===============================================================\n",
    "\n",
    "vleg = axs[0].legend(\n",
    "    [\n",
    "        Line2D([], [], ls=\"-\", c=\"gray\", alpha=0.6),\n",
    "        Line2D([], [], ls=(0,(2,.5)), c=c_sr, alpha=α_sr),\n",
    "        Line2D([], [], ls=\"-.\", c=c_sr, alpha=α_sr),\n",
    "        Line2D([], [], ls=\"--\", c=c_sr, alpha=α_sr),\n",
    "    ],\n",
    "    [\n",
    "        r\"$\\mathcal{J}^{\\mathrm{orig.}}_\\mathrm{PE}$\",\n",
    "        r\"$\\omega_3 = \\omega_i$\",\n",
    "        r\"$\\omega_3 = \\omega_i + \\alpha_i$\",\n",
    "        r\"$\\omega_3+\\alpha_3 = \\omega_i$\",\n",
    "    ], bbox_to_anchor=(-.01, 0.97), loc=\"lower left\", ncol=4, frameon=False,\n",
    ")\n",
    "\n",
    "fig.add_artist(vleg)\n",
    "\n",
    "#===============================================================\n",
    "axs[0].scatter(res_min.ω_3, res_min.J_min_full, label=\"parameter optimization\", marker=\"x\", c=\"red\", zorder=5)\n",
    "axs[0].legend(loc=\"upper left\", frameon=False, bbox_to_anchor=(.01, 1.03), handletextpad=0.0)\n",
    "#===============================================================\n",
    "\n",
    "df_ext = df_vary_theta.copy()\n",
    "df_ext[\"J_PE_01\"] = df_vary_theta.apply(J_T_PE_01, axis=1)\n",
    "min_J_PE = df_ext.groupby(\"ω3\").J_PE_01.min()\n",
    "axs[1].plot(min_J_PE, c=\"darkslategray\", label=\n",
    "r\"$\\min_\\Theta\\mathcal{J}^{\\{\\Theta,\\delta^\\mathrm{orig.},\\omega^\\mathrm{orig.}_{\\phi}\\!\\}}_\\mathrm{PE}$\")\n",
    "\n",
    "axs[1].legend(loc=\"lower left\", frameon=False, bbox_to_anchor=(-.010, 0.95), handletextpad=0.5)\n",
    "#===============================================================\n",
    "\n",
    "x1, x2, y1, y2 = 4.37, 4.58, 0, .8\n",
    "axins_theta = axs[1].inset_axes(\n",
    "    [0.05, 0.40, 0.128, 0.53],\n",
    "    xlim=(x1, x2), ylim=(y1, y2), xticks=[], yticks=[]\n",
    ")\n",
    "vmin, vmax = np.sort(df_vary_theta_slice.theta.unique())[[0,-1]]\n",
    "vmin, vmax = -0.1165, -0.094\n",
    "theta_dfs = list(df_vary_theta_slice.groupby(\"theta\", sort=True))[-2::-2]\n",
    "theta2norm = lambda theta: (theta-vmin)/(vmax-vmin)\n",
    "cmap = plt.cm.viridis_r\n",
    "colors = []\n",
    "thetas = []\n",
    "for i, (theta, df_g) in enumerate(theta_dfs):\n",
    "    axins_theta.fill_between(\n",
    "        df_g.ω3,\n",
    "        df_g.apply(J_T_PE_01, axis=1),\n",
    "        color = cmap(theta2norm(theta)),\n",
    "        alpha=0.99,\n",
    "        label=f\"{theta}\"\n",
    "    )\n",
    "    colors.append(cmap(theta2norm(theta)))\n",
    "    thetas.append(theta)\n",
    "\n",
    "axins_theta.legend(\n",
    "    title=r\"$\\Theta=$\", loc=\"center left\", frameon=False, bbox_to_anchor=(1.5, 0.5),\n",
    "    handlelength=1.0, handleheight=0.4, handletextpad=0.5, labelspacing=0.3,\n",
    ")\n",
    "axins_theta.set_ylabel(r\"$\\mathcal{J}^{\\{\\Theta,\\cdots\\}}_\\mathrm{PE}$\")\n",
    "norm = matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)\n",
    "\n",
    "#===============================================================\n",
    "x1, x2, y1, y2 = 4.25, 4.3, 0, .3\n",
    "axins = axs[2].inset_axes(\n",
    "    [0.06, 0.55, 0.11, 0.40],\n",
    "    xlim=(x1, x2), ylim=(y1, y2), xticks=[4.28], yticks=[])\n",
    "\n",
    "for ax in [axs[-1],axins]:\n",
    "    \n",
    "    ax.plot(\n",
    "        df_vary_omega.ω3,\n",
    "        df_vary_omega.apply(J_T_PE_01, axis=1),\n",
    "        label=r\"$\\mathcal{J}_\\mathrm{PE}^{\\omega_\\phi\\text{-shift}}$\",\n",
    "        ls=\"-\",\n",
    "        alpha=0.6,\n",
    "        c=\"tomato\",\n",
    "    )\n",
    "    \n",
    "    \n",
    "    ax.plot(\n",
    "        df_vary_omega.ω3.to_numpy(), w_min,\n",
    "        label=r\"$\\min\\big\\{\\mathcal{J}_\\mathrm{PE}^{\\omega_\\phi\\text{-shift}},\\mathcal{J}^{\\mathrm{orig.}}_\\mathrm{PE}\\big\\}$\",\n",
    "        ls=\"-\",\n",
    "        alpha=0.8,\n",
    "        c=\"darkred\",\n",
    "    )\n",
    "\n",
    "axins.plot(\n",
    "        df_g.ω3,\n",
    "        df_g.apply(J_T_PE_01, axis=1),\n",
    "        #label=f\"orig. protocol (θ={theta_sel:.3f})\",\n",
    "        label=f\"\",\n",
    "        ls=\"-\",\n",
    "        alpha=0.6,\n",
    "        c=\"gray\",\n",
    "    )\n",
    "\n",
    "axs[2].legend(loc=\"lower right\", frameon=False, bbox_to_anchor=(1.020, 2.00), ncol=2, columnspacing=1.5)\n",
    "inset_indicator_3 = axs[2].indicate_inset_zoom(axins, edgecolor=\"black\")\n",
    "inset_indicator_2 = axs[1].indicate_inset_zoom(axins_theta, edgecolor=\"black\")\n",
    "axins.grid()\n",
    "#===============================================================\n",
    "\n",
    "axs[-1].set_xlabel(\"$\\\\omega_3$ (GHz)\")\n",
    "for ax in axs:\n",
    "    ax.set_ylabel(r\"$\\mathcal{J}_\\mathrm{PE}$\")\n",
    "axs[-1].set_xlim(4.0, 6.2)\n",
    "axs[-1].set_ylim(0.0, 0.95)\n",
    "\n",
    "# ==============================================================\n",
    "# labels\n",
    "for ax, lbl in zip(axs, [\"a\", \"b\", \"c\", \"d\"]):\n",
    "    ax.text(\n",
    "        0.995,\n",
    "        0.05,\n",
    "        r\"({\" + lbl + \"})\",\n",
    "        transform=ax.transAxes,\n",
    "        fontsize=14,\n",
    "        ha=\"right\",\n",
    "        va=\"bottom\",\n",
    "        bbox=dict(\n",
    "            fc=\"w\",\n",
    "            ec=\"none\",\n",
    "            alpha=0.0,\n",
    "            pad=2,\n",
    "            boxstyle=\"circle,pad=.1\",\n",
    "        ),\n",
    "        zorder=10,\n",
    "    )\n",
    "\n",
    "bbox_props = dict(boxstyle='round', facecolor='none', pad=.5, lw=0.5)\n",
    "\n",
    "\n",
    "fig.subplots_adjust(left=0.08, right=0.992, bottom=0.088, top=0.932, hspace=0.1)\n",
    "\n",
    "plt.savefig(imgfldr/\"mckay.optimized_spectrum.pdf\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b1cfa5fc-7e98-405a-b3ef-36b637de2bc4",
   "metadata": {},
   "source": [
    "---"
   ]
  }
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