{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6cc71eaf",
   "metadata": {},
   "source": [
    "# 1.4 Headless Quick View — using Quantum Metal without the Qt GUI\n",
    "\n",
    "This notebook shows how to design and **view** components in Quantum Metal **without launching the Qt desktop GUI**. The full API works headlessly in a plain Python interpreter or in cloud notebook environments like Jupyter, Colab, and Binder where Qt isn't available or wanted.\n",
    "\n",
    "## What you'll learn\n",
    "\n",
    "1. How to build a design programmatically — same API as the GUI workflow\n",
    "2. How to use `qm.view(design)` to render a design to a matplotlib figure inline\n",
    "3. How to customise the view: filter components, hide layers, render into existing axes\n",
    "4. How to save the rendered design to a file\n",
    "\n",
    "## When to use this workflow\n",
    "\n",
    "- You're running on a server / cloud notebook (Colab, Binder, JupyterHub) where PySide6 isn't installed.\n",
    "- You're scripting a parameter sweep and just want to verify the geometry looks right.\n",
    "- You're embedding Quantum Metal in a larger pipeline (CI, automated optimization, papers/figures).\n",
    "\n",
    "If you want the **interactive editor** with click-to-select components, dockable panels, and live option editing, use `qm.MetalGUI(design)` instead. That requires a local installation with PySide6."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "511e5f6b",
   "metadata": {},
   "source": [
    "## Setup\n",
    "\n",
    "We force matplotlib's `Agg` backend before any plot calls so the notebook works on headless runners. In a normal Jupyter session you can skip this — Jupyter picks an inline-friendly backend automatically."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "4ce5dfce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "10:00PM 27s WARNING [_maybe_warn_lite_flip]: [FutureWarning] quantum-metal v0.7.0 will move PySide6, qdarkstyle, pyaedt, pyEPR-quantum, and gmsh out of base dependencies into opt-in extras. To preserve the current v0.6.x install behaviour, run `pip install 'quantum-metal[full]'` before upgrading. See ROADMAP.md and docs/migration-to-v0.7.0.rst for details. Set QISKIT_METAL_SUPPRESS_LITE_FLIP_WARNING=1 to silence.\n"
     ]
    }
   ],
   "source": [
    "import matplotlib\n",
    "from matplotlib import pyplot as plt\n",
    "\n",
    "# matplotlib.use(\"Agg\")  # only needed when not in Jupyter\n",
    "\n",
    "import qiskit_metal as qm\n",
    "from qiskit_metal import Dict\n",
    "from qiskit_metal.designs import DesignPlanar\n",
    "from qiskit_metal.qlibrary.qubits.transmon_pocket import TransmonPocket\n",
    "from qiskit_metal.qlibrary.terminations.open_to_ground import OpenToGround"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0de12b6a",
   "metadata": {},
   "source": [
    "## Build a small design programmatically\n",
    "\n",
    "Same API as the GUI workflow — no Qt window is created."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "ede0b108",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Components in design: ['Q1', 'G1']\n"
     ]
    }
   ],
   "source": [
    "design = DesignPlanar()\n",
    "\n",
    "# A transmon qubit with one coupling pad\n",
    "TransmonPocket(\n",
    "    design,\n",
    "    \"Q1\",\n",
    "    options=Dict(\n",
    "        pos_x=\"0mm\",\n",
    "        pos_y=\"0mm\",\n",
    "        connection_pads=Dict(\n",
    "            a=Dict(loc_W=\"+1\", loc_H=\"+1\"),\n",
    "        ),\n",
    "    ),\n",
    ")\n",
    "\n",
    "# A ground termination next to it\n",
    "OpenToGround(\n",
    "    design,\n",
    "    \"G1\",\n",
    "    options=Dict(pos_x=\"1mm\", pos_y=\"0mm\"),\n",
    ")\n",
    "\n",
    "print(\"Components in design:\", list(design.components.keys()))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4a02fb3c",
   "metadata": {},
   "source": [
    "## View the design\n",
    "\n",
    "`qm.view(design)` returns a `matplotlib.figure.Figure`. In Jupyter it will display inline; you can also save it or further customise it like any other matplotlib figure."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2cfb7d7f",
   "metadata": {},
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = qm.view(design)  # shows automatically in jupyter\n",
    "fig  # You can also use \"display(fig)\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98c76487",
   "metadata": {},
   "source": [
    "## Iterating on the design\n",
    "\n",
    "Changing a component's options is the same workflow as in the GUI — but you get a new `Figure` instead of an updated Qt canvas. Component objects are accessible by name via `design.components`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "aa75766b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Change Q1's pocket dimensions and re-render — no Qt window\n",
    "design.components[\"Q1\"].options.pocket_width = \"800um\"\n",
    "design.components[\"Q1\"].options.pocket_height = \"500um\"\n",
    "design.rebuild()\n",
    "\n",
    "fig = qm.view(design, title=\"After resizing Q1\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3f63f24",
   "metadata": {},
   "source": [
    "## Customising the view\n",
    "\n",
    "### Filter to specific components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "11c94010",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = qm.view(design, components=[\"Q1\"], title=\"Q1 only\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c8218376",
   "metadata": {},
   "source": [
    "### Custom figure size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "3c739f66",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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JFArCIyKkobFJDhYVS5ynZn9NpCssUmKTMyU9Oe1CYmS71Fackc6mWokNFxmakaK6KbAqJro9UHH7MwfBYgsPE/kdAwgDUOihuZYTSVEofeY1sUlUSrYkpGX2etwWFiYRkch9CJP21mZpqq2U7tYGNdV0dsb5pbTR2oDhmPoCWURkLQwgDEAfMGaxw9z9nMWOQkFXZ6e6Ykfl7zFw1jRpbW6QltoqsXW2SHJ8jNgHZ/TMGImbrxMjici/GEAYgP5ejG/HMDCiUNDlcIhNNGmvLpXGtnqPz0FskBoXI/kFoyUvL099TzhXClHoYABBFACa62skkHS2NklSYqIMzxusRkvoiYcYhaHnEqCbA4/l5uYG/DTTaDlEkGN2DQ0i6hsDCCI/whU7ZnxsOLpT/jvOITBGYGSmJKgkSAQJ+pBLzAuB4ZmA+SGQYBwMU00j2MGxDob3ShQsGEAQ+RGuiJfcukjl2QTDWhjBOncDuldKSkrUNNnIzSCigWMAYQCaZ1HwYBY+Il8EEWxa9y1MflVTU6MSoRlAEHkHAwgDMAQNAYSVlvMO1BUgKbhX4ySi0MEAwgBUtJiJD32/VliMJ5BXgKTgWo2TiEIXAwgD0D99/PhxywxRC9QVIEmCZjVOIiIGECEs0FaApMBSJ9aB0RdYwCvQh5sSBZPgb48nIjKQz4Fpta3QgkgUKBhAEJHlIX8Jo6jYJUPkPQwgjBwkLqZFFNQwfLO4uDgg59sgClYMIEws583+UyIiovMYQBAREZFpDCAMQN/pwYMHpaOjw/wRJiIisiAGEAZg9UEkX+mrEBJRcLHZbGpFTvwkIu/gPBBEZHnIXyooKJCEhAR/vxUiy2ALBBEREZnGAIKILA/5S4WFhVxRl8iLGEAYgKWWR40apfpQiSj4IH8Jc0Ewj4nIexhAGJxHH3NBWGElTiIiIm9gjWhAe3u7nD17ltPgEhERXcAAwmD/aWVlpTgcDiNPJyIisjwO4yQiy0P+Uk5OjsTGxvr7rRBZBlsgiMjykL+EOSCwrDcReQcDCCKyPMwkW1paqvKZiMg7GEAYbP5MT09XozGIKPggf6miooLr2RB5EQMIA2JiYmTIkCFs/iQiIrqAAYTBq5eWlhbp7u428nQiIiLLYwBhAIKHo0ePqpnsiIiIiAEEEYUA5C+lpqZyOnoiL2ILBBFZHoZv5uXlqXwmIvIODooOYc31NRLquh1d0u1hhlFbWJiER4Tu4mmtTfViJchfam1tVflMHE1FFEQBxIYNG+R3v/udlJWVyZVXXinPPfecTJ06tc/nb9myRR5//HE5efKkWgXz6aeflnnz5om/2Gw2VejgpxVgNr64SJs0HN0pDRK6UKnU1TeIFtZ7eK6t2yHJSYkhXdngM2KViZeQv1RUVKRGUyUmJvr77RB5JTcPAbE/F3r0eenwxhtvyIoVK+TFF1+UadOmybPPPitz5sxRX+bMzMxez//yyy9l8eLFsnbtWvnBD34gmzZtkgULFsiePXtk/Pjx4g+YwW7ChAkqoLHK8uRLbl2krshCGSYVOnLijETZMyUqKrrn/s7ODmmvLZcxw4ZIdPR/7w81CB6Sk5P9/TaIyEPw8Nlnn0lbW5tcffXVkpWVJf5g0zRN8+U/QNBw1VVXyfPPP99z1ZebmyvLly+XlStX9nr+okWLpLm5Wd57772e+3CAJk2apIKQi2loaFCFXn19vSQlJXltPxA8WCWAoPPw5Tv4zUlJHJQr0dH/7Rtvb2+TxvLTMn5UPvvMLRQsImCeOXMmWyAo6DU2Nsq2bdtUkD9u3DgZPny417Ztpg4N8/Uqlrt375ZZs2b99x+Gham/d+zY4fE1uN/5+YAWi76efzkgoDly5AhnsSMiooBhs9nk9OnTfmtN9mkXRlVVleqjGTRokMv9+BsVsifIk/D0fNzf15WF8/z2iJ68Da0muFrlSn5EwcsqOUxEznVTbW2tWuvFH4J+GCdyJdDcot/QPUJE5Ay5LEjgZgIlWUFiYqLq1o+KivLr+/BpAKEvQFVeXu5yP/7uK+kD95t5/qpVq1RfjX5Dcw4REREFcQCB6Gjy5Mkq2cO5yQV/T58+3eNrcL/z8+Gjjz7q8/m4skCih/ONiMg9Hwsjv5DPRGSV5RVaWlr8+j58PowTQzjvvPNOmTJlipr7AcM48SVesmSJevyOO+6QnJwc1RUBP//5z+X666+X3//+9zJ//nzZvHmz/Oc//5GXXnpJ/AW5D8OGDZPq6mqxCrTW+KvfLFAgdwY5M+3hVRIZGeU6jLOhQWpqajiM0yLDODHYDIlmXBCPrKK7u1vl9WB2VX91Zfg8gMCwzMrKSnniiSdUIiT6bbZu3dqTKFlSUuIyCcaMGTPU3A+PPfaYPPLII2oiqXfeecdvc0A4j4dHsopVgof/ffMtaen06QjegIcE3/qGxj4nktq1hxNJ3XbzTZwLgigA5/K57rrrVBmG4MFf89X4fB6Iy80X80Cg+fPrr7+WpqYmS8xMiJaUV9/4P7GPnSGxCda4wrxUjq5O0Tws086prOul7vCX8j+LbpS0tDQJdpwHgsj7dag15qm9DIXPuXPnVFeGFQIIHYKHeHvwVw7kG3U8sERk5WGcRERGuiGHDh3KmUWJvIgBBBFZHloOU1JSJDIydFdYJfI2BhBEZHlINquoqOB09ERexADCYPOn3W7325KpRDQwGLJcWlrqMu09EQ0Ma0QDkDyZn5/P5k8iIqILGEAYnLADQzktNuKViIjokjGAMAAzZx46dIj9p0RERBcwgCAiy0P+EibFQT4TEXkHv01EZHkYvok8JuQzEZF3sAWCiCwP+UudnZ1cTIvIixhAEJHlIQm6sLCQy3kTeREDCAMSEhJk4sSJflsylYiIKNAwgDAAa64jCQs/iYiIiAGEIS0tLVJcXKz6UImIiIgBhOF59JuampiARUREdAGHcRKR5SF/aeTIkSqfiYi8gzkQRGR5yF/Ckt7MYyLyHgYQRGR5yF86duyYymciIu9gAGFATEyM5ObmchpcoiBeEK+xsVHlMxGRdzCAMDgNblpammoCJSIiIgYQhps/q6urefVCRER0AVsgDGhra5PTp09LV1eXkacTERFZHgMIIrI8LOOdk5Mj0dHR/n4rRJbBeSBCWHN9jb/fAgWo1qZ6sRLkL2VkZHA9GyIvYgARgmJjYyUu0iYNR3dKg7/fDAUsfEZw5W4FGH1RU1OjWiGQFE1EA2eN0uEyXL1gBjtN08QK4uLiZMmti6S1tdXfb4UCGIKH5ORksQLkL5WUlMioUaMYQBB5CQMIgxUupsE9efKkWGmfcCMiIroUTKI0AC0PmIjGKi0QREREA8UAwgCsxLl//37p6OgY8AEnIiKyAgYQRGR5YWFhqsuOs8kSeQ9zIIjI8jDyIj8/n3k/RF7EFggiIiIyjQEEEVlee3u77N27V63ISUTewQDCgPj4eBk3bhxnsSMiIrqAAYTBBKyoqCix2WxGnk5ERGR5DCAMwIyNmEQKy3oTERERAwjD0+DW1dWpyaSIiIiIwziJKASgCxLDOJHPRETewS4MIrI85C9FR0erfCYi8g5+m4jI8pC/dOrUKa5AS+RFDCAMwJVLdna2Wt6YiIIP8pdqa2tVPhMReQcDCIP9p4MGDeI8+kRERBcwgDAAVy319fUchUFERHQBAwiD80CcOHGC80AQERFdwACCiCwPy3hnZWVxOnoiL2IAQUSWhwRoBBBIiCYi72AAQUQhMQqjoaGBozCIvIgBhJGDFBYmMTExXEyLKIjngTh+/DjngSAKhgCipqZGbr31VklKShK73S533323NDU19fv85cuXy+jRoyU2Nlby8vLkgQceUKMf/A3T344ZM4b9p0RERL4OIBA8FBYWykcffSTvvfeefPbZZ7J06dI+n19aWqpu69evl4MHD8rGjRtl69atKvAgIiKiwGLTNE3z9kYPHz4s48aNk6+++kqmTJmi7kMwMG/ePDlz5owMHjzY0Ha2bNkit912mzQ3NxueBRL9nMnJyarlAq0f3oCWk+3bt6sELEwqRUTBpb29XXVfzJw5UxITE/39dogClpk61CctEDt27FDdFnrwALNmzVK5BDt37jS8HX0H/D2FNGIsh8OhfhJR8OFiWkTe55OauaysTDIzM13/UUSEpKamqseMqKqqkieffLLfbg/9ygI35+iJiMgZl/Mm8j5TLRArV65UkXx/tyNHjgz4TSEImD9/vuoGWbNmTb/PXbt2rWpu0W+5ubkD/v9ERETkxRaIhx56SO66665+nzN8+HA1YUtFRUWv9SQw0gKP9aexsVHmzp2r+inffvttiYyM7Pf5q1atkhUrVrgEHwwiiMhZR0eHSs5OT0+XhIQEHhyiyx1AZGRkqNvFTJ8+Xerq6mT37t0yefJkdd8nn3yiJnOZNm1an69D5T9nzhyVrPjuu++quRcuBs/19exycXFxUlBQYLj7hYgCC/KXcBHDPCYi7/FJEuXYsWNVK8I999wju3btki+++EKWLVsmP/nJT3pGYJw9e1bNrYDH9eBh9uzZasTFK6+8ov5GhY0bEhj9PY8+gggkgRIREZGPkijh9ddfV0EDhk2h4l24cKH86U9/cpkZrqioSFpaWtTfe/bs6RmhMXLkSJdtYSXM/Px8v52vtrY2NfwUVzD+HhFCREQUCHxWG2LExaZNm/p8HAGBc3Pid7/73YBtXkSwg1EhmCGTAQQREZEPAwgiokCBZOwhQ4aorkgi8g526hOR5aEbFWvaIJ+JiLyDAQQRWR7yl5C47TzpHBENDAMIg7PYYfgqr16IghNGclVWVqr5IIjIOxhAGIB5JnJycphASUREdAEDCINXL5ifAhNhEREREQMIQzBXxTfffKOGcxIREREDCCIKAchfwjoYF1tbh4iM4zwQJrgnYGFoGAokTIDlKTlLX6MDLRfu3R+YkAqFGrpHkCFuZrtI6sTKp2a3i9fgteApGx3/E/8br3OfPhzbxLbx/9xbYpy3i/frPiHYpW7X+Rh62q4/jqG+3b6OYX/b9ccxNLpdfxzDgWz3UvYV0+gbWV+HiIxhAGEACiUUPJjSurW1tef+lJQUGTp0qKpIDh8+3Ot1o0ePVj+PHj3q8jrIy8tTs3UiMxzDy5xhJVLM1InC98CBAx5XPEUBfPz4cZWb4V5IZmZmSm1trZw6dcrlMcykqU8Jvm/fvl4FLN4TnlNSUqJWTnWGbWLbTU1NUlxc7PIY3gsWG4PCwsJeBTsSULECYmlpaa9VWnEM8H9xfDC1uXuFoB9DPOZ+DHHscQ6wTWzbWVJSktpXvBe8J3eYLh0V0bFjx3odQ7xfjLrBMcCxcIaJiPRjuHfv3l7bxWMIenDscQ6cYSVa3LDOC86dM7xG3y5WjXSvdDEJEuYxwGcFnxlnuLLG4+hqw2fNGfZRPzdHjhxRn2H395ScnCzl5eVy7tw5l8fsdrt6T6iMDx061GtfR40apYIBfB7czw1WxE1LS5Pq6mo5ffq0y2P4LGC7CAL279/fa7vDhg1T37mTJ0+qRfmcZWdny6BBg6S+vl5Nce8M31H9GOJ74x5o+XrRPaJQY9MCdf7oS4TCGQUiChhUIt6CIMH9aglXQ6hwURC6V0J6IAAo2N0LMxR2qHixTfcrWX3xLpwaVNjuUJGg4Eah7V7RoJBE4YuK072y0CfT0ZdNd4f/if+N17kHAdgmto3/515ZoKLXl0jG+3X/SOlTgHs6hjgGOBY4Pvq6KJ6Ooack1v6O4cXODd4v3renc9PfMdTPTV/HsL9z098xdD43no6hfm7MHkPnc+PpGOrnxtvHUD83/R3DgXy+B3IMicg7dSgDCCIiIjIdQHAYJxEREZnGAIKIiIhMYwBBREREplluFIaeOIV+HCIiIjJOrzuNjK+wXAChZ8ZjGBkRERFdWl2KZMqQGoWBIWeYEwDD/zDEzFsRGQISjGf35tDQQBVq+xuK+8z9tTaeX2tr8GF5hZAAwQPm/cHQ6JBqgcAOY1IdX8CJCoXKJVT3NxT3mftrbTy/1pbko/LqYi0POiZREhERkWkMIIiIiMg0BhAGYPrc1atXh8xc+qG2v6G4z9xfa+P5tbboACmvLJdESURERL7HFggiIiIyjQEEERERmcYAgoiIiExjAEFEREQMILylpqZGbr31VjVJh91ul7vvvluampoMvRZ5qTfccIOaCfOdd96x5P7i+cuXL5fRo0dLbGys5OXlyQMPPKDWkA9UGzZskPz8fImJiZFp06bJrl27+n3+li1bZMyYMer5EyZMkA8++ECCiZn9ffnll+Xaa6+VlJQUdZs1a9ZFj0+wn1/d5s2b1Xd1wYIFYuX9raurk/vvv1+ys7NV9n5BQUFQfabN7u+zzz7bUz5h1sYHH3xQ2traJBh89tln8sMf/lDNBmm0Hvn000/l29/+tjq3I0eOlI0bN/r+jWIUBvU2d+5c7corr9T+/e9/a//617+0kSNHaosXLzZ0qP7whz9oN9xwA0a3aG+//bYl9/fAgQPaTTfdpL377rtacXGxtm3bNm3UqFHawoULtUC0efNmLSoqSnv11Ve1wsJC7Z577tHsdrtWXl7u8flffPGFFh4erj3zzDPaoUOHtMcee0yLjIxU+x0MzO7vLbfcom3YsEH7+uuvtcOHD2t33XWXlpycrJ05c0az4v7qTpw4oeXk5GjXXnutduONN2rBwuz+tre3a1OmTNHmzZunff7552q/P/30U23v3r2aFff39ddf16Kjo9VP7OuHH36oZWdnaw8++KAWDD744APt0Ucf1d566y1D9cjx48e1uLg4bcWKFaq8eu6551T5tXXrVp++TwYQHuAE4KR99dVXPff94x//0Gw2m3b27Nl+DygKYBRI586dC5oAYiD76+zNN99UX/LOzk4t0EydOlW7//77e/52OBza4MGDtbVr13p8/s0336zNnz/f5b5p06Zp9957rxYMzO6vu66uLi0xMVH761//qll1f7GPM2bM0P7yl79od955Z1AFEGb394UXXtCGDx+udXR0aMHI7P7iud///vdd7kPles0112jBRgzUI7/85S+1K664wuW+RYsWaXPmzPHpe2MOhAc7duxQzfhTpkzpuQ9NulhnY+fOnX225rS0tMgtt9yimtqysrLE6vvrDt0X6AKJiAisJVY6Ojpk9+7dap902Df8jX33BPc7Px/mzJnT5/ODfX89fZY7OzslNTVVrLq/v/71ryUzM1N11wWTS9nfd999V6ZPn666MAYNGiTjx4+X3/72t+JwOMSK+ztjxgz1Gr2b4/jx46q7Zt68eWJFO/xUXgVWSR8gysrKVMHiDJUiClM81hf0seGDe+ONN0oo7K+zqqoqefLJJ2Xp0qUSaPDeUFCi4HSGv48cOeLxNdhvT883ejyCbX/dPfzww6r/1b1Qssr+fv755/LKK6/I3r17Jdhcyv6iAv3kk09UnhMq0uLiYrnvvvtUkIgZDa22v7iQw+u+853vqJy0rq4u+dnPfiaPPPKIWFFZH+UVVu1sbW1VeSC+EFItECtXrlQJKf3djBawniJ8fEGRuBMK++sMH9L58+fLuHHjZM2aNV557+Q/69atU4mFb7/9tkpYsxosVXz77berxNH09HQJBd3d3eoi4aWXXpLJkyfLokWL5NFHH5UXX3xRrAgJhWhh+fOf/yx79uyRt956S95//311kUPeE1ItEA899JDcdddd/T5n+PDhqvuhoqLC5X5EsBh50FfXBIKHY8eOqa4AZwsXLlTZ7fhAW2l/nQvjuXPnSmJioqpwIiMjJdCgkggPD5fy8nKX+/F3X/uH+808P9j3V7d+/XoVQHz88ccyceJECQZm9xff05MnT6osd+cKVm95KyoqkhEjRoiVzi9GXuC7idfpxo4dq65c0UUQFRUlVtrfxx9/XAWJP/3pT9XfGEXV3NysWkgROKELxEqy+iiv0KXsq9YHsNZRvIiMjAw1LK+/G75I6CvEkCf0oTkHCChkMHyor6v9/fv3qyZR/QZ//OMf5bXXXhOr7a/e8jB79my1DbTABOrVKt4frrq2bdvWcx/2DX9j3z3B/c7Ph48++qjP5wf7/sIzzzyjrtC2bt3qkg9jtf3F5/7AgQMu39Uf/ehH8r3vfU/9jiF/Vju/11xzjeq20AMlOHr0qAosAjl4uNT9RQ6Pe5CgB09WXP5pur/KK5+maAYxDGv81re+pe3cuVMNe8IQRedhjRjeNnr0aPV4X4JlFMal7G99fb0alTBhwgQ1jBOjTvQbstsDcRgYhnVt3LhRjTpZunSpGgZWVlamHr/99tu1lStXugzjjIiI0NavX6+GNa5evTrohnGa2d9169apETR///vfXc5lY2OjZsX9dRdsozDM7m9JSYkaVbNs2TKtqKhIe++997TMzEztN7/5jWbF/cX3Ffv7t7/9TQ1x/Oc//6mNGDFCja4KBo2NjWpEH26oRzA1AH4/deqUehz7in12H8b5i1/8QpVXGJLNYZx+VF1drSrQhIQELSkpSVuyZIlLYYqxxTix27dvt0QAYXZ/8RN/e7rhuYEIY6Pz8vJURYlhYZjzQnf99derSsR9WGpBQYF6PoZIvf/++1owMbO/Q4cO9XguURAHC7PnN5gDiEvZ3y+//FIF/aiIMaTzqaeeCshg3xv7i6Hka9asUUFDTEyMlpubq913331abW2tFgy291G+6vuIn9hn99dMmjRJHR+c39dee83n75PLeRMREZFpIZUDQURERN7BAIKIiIhMYwBBREREpjGAICIiItMYQBAREZFpDCCIiIjINAYQREREZBoDCCIiIjKNAQQRERGZxgCCiIiITGMAQURERKYxgCAiIiIx6/8BMGtMWrpYO3YAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = qm.view(design, figsize=(6, 4))\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5efe77e5",
   "metadata": {},
   "source": [
    "### Side-by-side in a multi-panel figure"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c40c80f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x500 with 2 Axes>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(12, 5))\n",
    "qm.view(design, ax=axes[0], title=\"Full design\")\n",
    "qm.view(design, ax=axes[1], components=[\"Q1\"], title=\"Just Q1\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fc789b5a",
   "metadata": {},
   "source": [
    "## A coupled two-qubit design\n",
    "\n",
    "The `components=` argument to `qm.view` lets you highlight any subset of the design — useful for inspecting individual qubits or the coupler in isolation. Here we build two `TransmonPocket` qubits connected by a `RouteStraight` bus coupler and then view them together and separately."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2ef42332",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Components: ['Q1', 'Q2', 'coupler']\n"
     ]
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.tlines.straight_path import RouteStraight\n",
    "\n",
    "design2 = DesignPlanar()\n",
    "design2.chips.main.size[\"size_x\"] = \"3mm\"\n",
    "design2.chips.main.size[\"size_y\"] = \"2mm\"\n",
    "\n",
    "TransmonPocket(\n",
    "    design2,\n",
    "    \"Q1\",\n",
    "    options=Dict(\n",
    "        pos_x=\"-0.75mm\",\n",
    "        pos_y=\"0mm\",\n",
    "        pad_width=\"425um\",\n",
    "        pocket_height=\"650um\",\n",
    "        connection_pads=Dict(\n",
    "            readout=Dict(loc_W=+1, loc_H=+1, pad_width=\"200um\"),\n",
    "        ),\n",
    "    ),\n",
    ")\n",
    "\n",
    "TransmonPocket(\n",
    "    design2,\n",
    "    \"Q2\",\n",
    "    options=Dict(\n",
    "        pos_x=\"0.75mm\",\n",
    "        pos_y=\"0mm\",\n",
    "        pad_width=\"425um\",\n",
    "        pocket_height=\"650um\",\n",
    "        connection_pads=Dict(\n",
    "            readout=Dict(loc_W=-1, loc_H=+1, pad_width=\"200um\"),\n",
    "        ),\n",
    "    ),\n",
    ")\n",
    "\n",
    "RouteStraight(\n",
    "    design2,\n",
    "    \"coupler\",\n",
    "    Dict(\n",
    "        pin_inputs=Dict(\n",
    "            start_pin=Dict(component=\"Q1\", pin=\"readout\"),\n",
    "            end_pin=Dict(component=\"Q2\", pin=\"readout\"),\n",
    "        ),\n",
    "    ),\n",
    ")\n",
    "\n",
    "print(\"Components:\", list(design2.components.keys()))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "14a99c4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig = qm.view(design2, title=\"Q1 + Q2 directly coupled\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc63092f",
   "metadata": {},
   "source": [
    "### Highlight individual components\n",
    "\n",
    "Pass `components=[...]` with any subset of component names. Everything else is hidden, so you can focus on one qubit, one coupler, or any combination."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a8b62621",
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1, 3, figsize=(15, 5))\n",
    "qm.view(design2, ax=axes[0], title=\"Full design\")\n",
    "qm.view(design2, ax=axes[1], components=[\"Q1\"], title=\"Q1 only\")\n",
    "qm.view(design2, ax=axes[2], components=[\"Q2\"], title=\"Q2 only\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "1ef5215d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The coupler on its own — useful for checking routing geometry\n",
    "fig = qm.view(design2, components=[\"coupler\"], title=\"Coupler only\")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfe1df3b",
   "metadata": {},
   "source": [
    "### Highlight a subset — headless equivalent of `gui.highlight_components()`\n",
    "\n",
    "In the Qt GUI you'd call `gui.highlight_components([\"Q1\", \"Q2\"])` to focus on specific components. The headless equivalent is the same `components=` argument — pass any combination of component names and everything else is hidden."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3955098c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Show both qubits together, hide the coupler\n",
    "fig = qm.view(\n",
    "    design2, components=[\"Q1\", \"Q2\"], title=\"Qubits highlighted (coupler hidden)\"\n",
    ")\n",
    "fig"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b04ab52",
   "metadata": {},
   "source": [
    "## Interactive pan & zoom in JupyterLab\n",
    "\n",
    "`qm.view()` returns a standard matplotlib `Figure` that works with any backend.\n",
    "Switch to the `widget` backend (powered by [ipympl](https://matplotlib.org/ipympl/))\n",
    "for interactive pan, zoom, and mouse navigation directly inside JupyterLab.\n",
    "\n",
    "**Install `ipympl` if you do not have it:**\n",
    "\n",
    "```bash\n",
    "pip install \"quantum-metal[jupyter]\"   # full dev install — already includes ipympl\n",
    "pip install ipympl                      # standalone\n",
    "```\n",
    "\n",
    "### Two rules for switching backends\n",
    "\n",
    "1. **Switch before you create any figures.** `%matplotlib widget` registers a new\n",
    "   canvas type; figures already open stay on the old backend and won't become\n",
    "   interactive. Re-run the plot cells after switching.\n",
    "2. **Qt and ipympl cannot share a kernel.** If Qt has been initialised in this\n",
    "   kernel session (e.g. you imported `MetalGUI` earlier, even in a different\n",
    "   notebook), the widget backend will silently accept the switch but figures\n",
    "   will still render statically. In that case **restart the kernel** and run\n",
    "   `%matplotlib widget` as the very first cell.\n",
    "\n",
    "> This notebook never imports `MetalGUI`, so the widget backend works here\n",
    "> without a kernel restart. Notebooks that do use `MetalGUI` (e.g. 1.2, 1.3)\n",
    "> cannot switch to `widget` mid-session — use this notebook for interactive\n",
    "> exploration instead.\n",
    "\n",
    "(You may have to restart your kernel and run these cells first here)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6c315a1f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Backend switched to: widget\n",
      "Re-run the plot cells below to get interactive figures.\n"
     ]
    }
   ],
   "source": [
    "# Run this cell FIRST — before any qm.view() or plt calls.\n",
    "# Re-run the plot cells below after switching to see the interactive canvas.\n",
    "try:\n",
    "    import ipympl  # noqa: F401\n",
    "\n",
    "    get_ipython().run_line_magic(\"matplotlib\", \"widget\")\n",
    "    import matplotlib\n",
    "\n",
    "    print(f\"Backend switched to: {matplotlib.get_backend()}\")\n",
    "    print(\"Re-run the plot cells below to get interactive figures.\")\n",
    "except ImportError:\n",
    "    get_ipython().run_line_magic(\"matplotlib\", \"inline\")\n",
    "    print(\"ipympl not installed — static inline figures only.\")\n",
    "    print('Install: pip install \"quantum-metal[jupyter]\"')\n",
    "except Exception as e:\n",
    "    get_ipython().run_line_magic(\"matplotlib\", \"inline\")\n",
    "    print(f\"Could not switch to widget backend ({e}).\")\n",
    "    print(\"If Qt is active in this kernel, restart and run this cell first.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9f1a3428",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a2854680b3ae465baca63df3578ab470",
       "version_major": 2,
       "version_minor": 0
      },
      "image/png": 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",
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       "\n",
       "            <div style=\"display: inline-block;\">\n",
       "                <div class=\"jupyter-widgets widget-label\" style=\"text-align: center;\">\n",
       "                    Figure\n",
       "                </div>\n",
       "                <img 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' width=800.0/>\n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Now qm.view() returns an interactive figure: scroll to zoom, drag to pan\n",
    "fig = qm.view(design2, title=\"Interactive view — use toolbar to zoom and pan\")\n",
    "# fig.show() - not needed"
   ]
  },
  {
   "attachments": {
    "66bfbf1f-2831-4125-aa3d-71a1998188b4.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "aae96f68",
   "metadata": {},
   "source": [
    "> **Interacting with the figure**\n",
    ">\n",
    "> The toolbar on the left edge of the canvas gives you full mouse control:\n",
    ">\n",
    "> | Button | Action |\n",
    "> |--------|--------|\n",
    "> | ⌂ Home | Reset to the original view |\n",
    "> | ← Back | Step back through previous views |\n",
    "> | → Forward | Step forward through views |\n",
    "> | ✥ Pan | Click and drag to pan around the design |\n",
    "> | □ Zoom | Draw a rectangle to zoom into that region |\n",
    "> | 💾 Save | Download the current view as a PNG |\n",
    ">\n",
    "> You can also **scroll** (mouse wheel / trackpad pinch) to zoom in and out directly on the canvas.\n",
    ">\n",
    "> > **Note:** The interactive toolbar requires `ipympl` (`pip install \"quantum-metal[jupyter]\"`).\n",
    "> > If you only see a static image, run `%matplotlib widget` **before** any plotting cells, then re-run this cell.\n",
    "> >\n",
    "> ![image.png](attachment:66bfbf1f-2831-4125-aa3d-71a1998188b4.png)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "09ab1116",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Switch back to static inline rendering when you're done exploring\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e8bf93f1",
   "metadata": {},
   "source": [
    "## Batch export: render multiple designs to PNG\n",
    "\n",
    "Headless rendering shines when you want to automate exports — for example,\n",
    "generating figures for a paper or sweeping a parameter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b019e397",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import qiskit_metal as qm\n",
    "\n",
    "%matplotlib inline\n",
    "\n",
    "output_dir = \"batch_output\"\n",
    "os.makedirs(output_dir, exist_ok=True)\n",
    "\n",
    "# Vary Q1's pad_width across three values and save each view\n",
    "for pad_w in [\"300 um\", \"425 um\", \"550 um\"]:\n",
    "    design2.components[\"Q1\"].options.pad_width = pad_w\n",
    "    design2.rebuild()\n",
    "    fig = qm.view(design2, title=f\"pad_width = {pad_w}\")\n",
    "    safe_name = pad_w.replace(\" \", \"\").replace(\"/\", \"_\")\n",
    "    fig.savefig(\n",
    "        f\"{output_dir}/design_pad_{safe_name}.png\", dpi=150, bbox_inches=\"tight\"\n",
    "    )\n",
    "    print(f\"Saved design_pad_{safe_name}.png\")\n",
    "\n",
    "# Restore original\n",
    "design2.components[\"Q1\"].options.pad_width = \"425 um\"\n",
    "design2.rebuild()\n",
    "print(\"Done — check the batch_output/ folder\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f061c9c8",
   "metadata": {},
   "source": [
    "> **Tip:** Wrap this pattern in a function and loop over any option — qubit positions,\n",
    "> CPW lengths, pad gaps. The PNG filenames become your experiment log."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8bedbaa7",
   "metadata": {},
   "source": [
    "## Save to a file\n",
    "\n",
    "Any `matplotlib.figure.Figure` method works — `savefig` to PNG/PDF/SVG, embed in a paper, etc."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c85ddb67",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saved my_design.png\n"
     ]
    }
   ],
   "source": [
    "fig = qm.view(design)\n",
    "fig.savefig(\"my_design.png\", dpi=150, bbox_inches=\"tight\")\n",
    "print(\"Saved my_design.png\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f7e31ae1",
   "metadata": {},
   "source": [
    "## What about HFSS / Q3D / GDS?\n",
    "\n",
    "All non-Qt renderers work headlessly too:\n",
    "\n",
    "- **GDS export** — `QGDSRenderer(design).export_to_gds(\"out.gds\")` works without Qt.\n",
    "- **HFSS / Q3D** — the *renderer* doesn't require Qt, but it does require Ansys AEDT installed on the machine running the script. On a cloud notebook without Ansys, you can still build the design and export GDS / visualise with `qm.view`; you just can't run the live solve.\n",
    "- **Analyses** — every module in `qiskit_metal.analyses` is pure Python (numpy / scipy / qutip) and works headlessly.\n",
    "\n",
    "## Next steps\n",
    "\n",
    "- See `docs/headless-usage.rst` for the full reference.\n",
    "- See the [1.2 Quick start](./1.2-Quick-start.ipynb) notebook for a tour of the GUI-driven workflow.\n",
    "- For interactive pan/zoom in Jupyter without Qt, install `ipympl` and run `%matplotlib widget` at the top of your notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "71777ffa",
   "metadata": {},
   "source": [
    "## What's next\n",
    "\n",
    "* Browse [1.1 Bird's eye view](./1.1-Bird's-eye-view-of-Qiskit-Metal.ipynb) and [1.2 Quick start](./1.2-Quick-start.ipynb) — they use `MetalGUI` for visualisation but every concept transfers; just replace `gui.rebuild()` with `qm.view(design)`. The GUI-screenshots in those tutorials give you a sense of what the desktop experience looks like.\n",
    "* See the **2 From components to chip** folder for multi-qubit designs and CPW routing. The same `qm.view(design)` call works for any of them — pass `figsize=(12, 12)` for chip-scale views.\n",
    "* For programmatic GDS export (no Qt or Ansys required), use the `QGDSRenderer`:\n",
    "\n",
    "  ```python\n",
    "  from qiskit_metal.renderers.renderer_gds.gds_renderer import QGDSRenderer\n",
    "  gds = QGDSRenderer(design)\n",
    "  gds.export_to_gds(\"my_chip.gds\")\n",
    "  ```\n",
    "\n",
    "* Read the full reference in [`docs/headless-usage.rst`](../../docs/headless-usage.rst) for all of `qm.view`'s options, the `[gui]`/`[ansys]`/`[fem]` install extras, and the roadmap for a future richer interactive viewer."
   ]
  }
 ],
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