{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Charge Line\n",
    "\n",
    "We'll be creating a 2D design and adding a single transmon qcomponent with a charge line.\n",
    "\n",
    " Create a standard pocket transmon qubit with charge line for a ground plane,\n",
    "        with two pads connected by a junction."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# So, let us dive right in. For convenience, let's begin by enabling\n",
    "# automatic reloading of modules when they change.\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import qiskit_metal as metal\n",
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import MetalGUI, Dict, open_docs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Each time you create a new quantum circuit design, \n",
    "# you start by instantiating a QDesign class. \n",
    "\n",
    "# The design class `DesignPlanar` is best for 2D circuit designs.\n",
    "\n",
    "design = designs.DesignPlanar()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Launch Qiskit Metal GUI to interactively view, edit, and simulate QDesign: Metal GUI\n",
    "gui = MetalGUI(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To force overwrite a QComponent with an existing name.  \n",
    "# This is useful when re-running cells in a notebook. \n",
    "design.overwrite_enabled = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### A transmon qubit with charge line.\n",
    "You can create a ready-made transmon qubit from the QComponent Library, `qiskit_metal.qlibrary.qubits`. \n",
    "`transmon_pocket_cl.py` is the file containing our qubit so `transmon_pocket_cl` is the module we import. \n",
    "The `TransmonPocketCL` class is our transmon qubit. Like all quantum components, `TransmonPocketCL` inherits from `QComponent`. \n",
    "\n",
    " Connector lines can be added using the `connection_pads` dictionary. \n",
    " Each connector pad has a name and a list of default properties.\n",
    " \n",
    " A charge line can be added with options that start with \"cl_\" as shown in the next two cells."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'pos_x': '0um',\n",
       " 'pos_y': '0um',\n",
       " 'connection_pads': {},\n",
       " '_default_connection_pads': {'pad_gap': '15um',\n",
       "  'pad_width': '125um',\n",
       "  'pad_height': '30um',\n",
       "  'pad_cpw_shift': '5um',\n",
       "  'pad_cpw_extent': '25um',\n",
       "  'cpw_width': 'cpw_width',\n",
       "  'cpw_gap': 'cpw_gap',\n",
       "  'cpw_extend': '100um',\n",
       "  'pocket_extent': '5um',\n",
       "  'pocket_rise': '65um',\n",
       "  'loc_W': '+1',\n",
       "  'loc_H': '+1'},\n",
       " 'chip': 'main',\n",
       " 'pad_gap': '30um',\n",
       " 'inductor_width': '20um',\n",
       " 'pad_width': '455um',\n",
       " 'pad_height': '90um',\n",
       " 'pocket_width': '650um',\n",
       " 'pocket_height': '650um',\n",
       " 'orientation': '0',\n",
       " 'make_CL': True,\n",
       " 'cl_gap': '6um',\n",
       " 'cl_width': '10um',\n",
       " 'cl_length': '20um',\n",
       " 'cl_ground_gap': '6um',\n",
       " 'cl_pocket_edge': '0',\n",
       " 'cl_off_center': '50um',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False,\n",
       " 'hfss_inductance': '10nH',\n",
       " 'hfss_capacitance': 0,\n",
       " 'hfss_resistance': 0,\n",
       " 'hfss_mesh_kw_jj': 7e-06,\n",
       " 'q3d_inductance': '10nH',\n",
       " 'q3d_capacitance': 0,\n",
       " 'q3d_resistance': 0,\n",
       " 'q3d_mesh_kw_jj': 7e-06,\n",
       " 'gds_cell_name': 'my_other_junction'}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket_cl import TransmonPocketCL\n",
    "\n",
    "# Be aware of the default_options that can be overridden by user.\n",
    "TransmonPocketCL.get_template_options(design)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "transmon_options_cl = dict(\n",
    "    pos_x = '1mm',\n",
    "    pos_y = '2mm',\n",
    "    orientation = '180',\n",
    "    \n",
    "    connection_pads=dict(\n",
    "        a = dict(loc_W=+1, loc_H=-1, pad_width='70um', cpw_extend = '50um'), \n",
    "        b = dict(loc_W=-1, loc_H=-1, pad_width='125um', cpw_extend = '50um', pad_height='60um'),\n",
    "        c = dict(loc_W=+1, loc_H=+1, pad_width='110um', cpw_extend = '50um')\n",
    "    ),\n",
    "    \n",
    "    # What side of the pocket the charge line is.\n",
    "    #      -180 to +180 from the 'west edge', will round to the nearest 90.\n",
    "    cl_pocket_edge = '90',\n",
    "    cl_off_center = '-40um',\n",
    "    \n",
    "    gds_cell_name='FakeJunction_01',\n",
    ")\n",
    "\n",
    "# Create a new Transmon Pocket object with name 'Q1' \n",
    "q1 = TransmonPocketCL(design, 'Q1', options=transmon_options_cl)\n",
    "\n",
    "gui.rebuild()  # rebuild the design and plot \n",
    "gui.autoscale() # resize GUI to see QComponent \n",
    "gui.zoom_on_components(['Q1']) #Can also gui.zoom_on_components([q1.name]) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's see what the Q1 object looks like"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "\u001b[95m\u001b[1mname:    \u001b[94m\u001b[1mQ1\u001b[0m\n",
       "\u001b[95m\u001b[1mclass:   \u001b[94m\u001b[1mTransmonPocketCL      \u001b[0m\n",
       "\u001b[95m\u001b[1moptions: \u001b[0m\n",
       "  'pos_x'             : '1mm',                        \n",
       "  'pos_y'             : '2mm',                        \n",
       "  \u001b[1m'connection_pads'   \u001b[0m: {\n",
       "       \u001b[1m'a'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '70um',                       \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'b'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '125um',                      \n",
       "            'pad_height'        : '60um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : -1,                           \n",
       "            'loc_H'             : -1,                           \n",
       "                             },\n",
       "       \u001b[1m'c'                 \u001b[0m: {\n",
       "            'pad_gap'           : '15um',                       \n",
       "            'pad_width'         : '110um',                      \n",
       "            'pad_height'        : '30um',                       \n",
       "            'pad_cpw_shift'     : '5um',                        \n",
       "            'pad_cpw_extent'    : '25um',                       \n",
       "            'cpw_width'         : 'cpw_width',                  \n",
       "            'cpw_gap'           : 'cpw_gap',                    \n",
       "            'cpw_extend'        : '50um',                       \n",
       "            'pocket_extent'     : '5um',                        \n",
       "            'pocket_rise'       : '65um',                       \n",
       "            'loc_W'             : 1,                            \n",
       "            'loc_H'             : 1,                            \n",
       "                             },\n",
       "                        },\n",
       "  'chip'              : 'main',                       \n",
       "  'pad_gap'           : '30um',                       \n",
       "  'inductor_width'    : '20um',                       \n",
       "  'pad_width'         : '455um',                      \n",
       "  'pad_height'        : '90um',                       \n",
       "  'pocket_width'      : '650um',                      \n",
       "  'pocket_height'     : '650um',                      \n",
       "  'orientation'       : '180',                        \n",
       "  'make_CL'           : True,                         \n",
       "  'cl_gap'            : '6um',                        \n",
       "  'cl_width'          : '10um',                       \n",
       "  'cl_length'         : '20um',                       \n",
       "  'cl_ground_gap'     : '6um',                        \n",
       "  'cl_pocket_edge'    : '90',                         \n",
       "  'cl_off_center'     : '-40um',                      \n",
       "  'hfss_wire_bonds'   : False,                        \n",
       "  'q3d_wire_bonds'    : False,                        \n",
       "  'hfss_inductance'   : '10nH',                       \n",
       "  'hfss_capacitance'  : 0,                            \n",
       "  'hfss_resistance'   : 0,                            \n",
       "  'hfss_mesh_kw_jj'   : 7e-06,                        \n",
       "  'q3d_inductance'    : '10nH',                       \n",
       "  'q3d_capacitance'   : 0,                            \n",
       "  'q3d_resistance'    : 0,                            \n",
       "  'q3d_mesh_kw_jj'    : 7e-06,                        \n",
       "  'gds_cell_name'     : 'FakeJunction_01',            \n",
       "\u001b[95m\u001b[1mmodule:  \u001b[94m\u001b[1mqiskit_metal.qlibrary.qubits.transmon_pocket_cl\u001b[0m\n",
       "\u001b[95m\u001b[1mid:      \u001b[94m\u001b[1m1\u001b[0m"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q1 #print Q1 information"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Save screenshot as a .png formatted file."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "width": 500
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Screenshot the canvas only as a .png formatted file.\n",
    "gui.figure.savefig('shot.png')\n",
    "\n",
    "from IPython.display import Image, display\n",
    "_disp_ops = dict(width=500)\n",
    "display(Image('shot.png', **_disp_ops))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Closing the Qiskit Metal GUI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gui.main_window.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "celltoolbar": "Tags",
  "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": "3.7.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}