{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "50bf4cbe",
   "metadata": {},
   "source": [
    "# 2.13 Hybrid Auto and AStar"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a509eaaa",
   "metadata": {},
   "source": [
    "[![Open in Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/qiskit-community/qiskit-metal/blob/main/tutorials/2%20From%20components%20to%20chip/B.%20Routing%20between%20QComponents/2.13%20Hybrid%20Auto%20and%20AStar.ipynb)\n",
    "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/qiskit-community/qiskit-metal/main?labpath=tutorials%2F2%20From%20components%20to%20chip%2FB.%20Routing%20between%20QComponents%2F2.13%20Hybrid%20Auto%20and%20AStar.ipynb)\n",
    "\n",
    "> 💡 **Running in Colab or Binder?** Skip the desktop GUI install — the cell below grabs the lite (no-Qt) wheel, and `qm.gui(design)` auto-picks an inline matplotlib viewer with the same API (`gui.rebuild()`, `gui.screenshot()`, `gui.edit_component(...)`) as the desktop `MetalGUI`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "06b06860",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:47.461791Z",
     "iopub.status.busy": "2026-08-08T04:39:47.461574Z",
     "iopub.status.idle": "2026-08-08T04:39:47.466398Z",
     "shell.execute_reply": "2026-08-08T04:39:47.465597Z"
    }
   },
   "outputs": [],
   "source": [
    "# In Colab / Binder, uncomment to install Quantum Metal (lite, no Qt).\n",
    "# Locally you should already have it via `pip install quantum-metal` or\n",
    "# `pip install 'quantum-metal[gui]'` for the desktop GUI.\n",
    "# !pip install -q quantum-metal"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "22a92cbc",
   "metadata": {},
   "source": [
    "> 💡 **Using this tutorial without the Qt GUI**\n",
    "> \n",
    "> This tutorial uses the desktop `MetalGUI`. To follow along on Colab, Binder, JupyterHub, or any environment where Qt isn't available, **replace any `gui.rebuild()` / `gui.screenshot()` call with `qm.view(design)`** — it renders the design to a matplotlib `Figure` you can display inline or save with `fig.savefig(...)`.\n",
    "> \n",
    "> See [1.1 Quick start](../1-Overview/1.1-Quick-start.ipynb) for a complete runnable walkthrough and [`docs/headless-usage.rst`](../../docs/headless-usage.rst) for the full reference."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4761d43d",
   "metadata": {},
   "source": [
    "Creates 3 transmon pockets in an L shape, each of which can be rotated in increments of 90 deg.\n",
    "Anchors are user-specified points through which the CPW must pass.\n",
    "For a specified step size and suitable choice of anchors, a snapped path can always be found.\n",
    "How close this path is to the shortest path depends on the step size - a smaller step size generally yields more optimal paths but requires a longer runtime."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "457c8a4e",
   "metadata": {},
   "source": [
    "## Preparations"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6d0088c8",
   "metadata": {},
   "source": [
    "Import key libraries and open the Metal GUI. Also we configure the notebook to enable overwriting of existing components"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "29e37710",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:47.468877Z",
     "iopub.status.busy": "2026-08-08T04:39:47.468713Z",
     "iopub.status.idle": "2026-08-08T04:39:48.641088Z",
     "shell.execute_reply": "2026-08-08T04:39:48.640506Z"
    }
   },
   "outputs": [],
   "source": [
    "from qiskit_metal import designs, draw\n",
    "from qiskit_metal import Dict"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7e58d481",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:48.642734Z",
     "iopub.status.busy": "2026-08-08T04:39:48.642595Z",
     "iopub.status.idle": "2026-08-08T04:39:49.552793Z",
     "shell.execute_reply": "2026-08-08T04:39:49.552326Z"
    }
   },
   "outputs": [],
   "source": [
    "import qiskit_metal as qm\n",
    "\n",
    "design = designs.DesignPlanar()\n",
    "gui = qm.gui(design)\n",
    "\n",
    "# If you disable the next line, then you will need to delete a component [<component>.delete()] before recreating it.\n",
    "design.overwrite_enabled = True"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "677d1fe2",
   "metadata": {},
   "source": [
    "Create 3 transmon qubits with 4 pins. This uses the same definition (options) for all 3 qubits, but it places them in 3 different (x,y) origin points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e017ea25",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:49.554331Z",
     "iopub.status.busy": "2026-08-08T04:39:49.554233Z",
     "iopub.status.idle": "2026-08-08T04:39:49.782994Z",
     "shell.execute_reply": "2026-08-08T04:39:49.782102Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.qubits.transmon_pocket import TransmonPocket\n",
    "\n",
    "options = dict(\n",
    "    pad_width=\"425 um\",\n",
    "    pocket_height=\"650um\",\n",
    "    connection_pads=dict(  # pin connectors\n",
    "        a=dict(loc_W=+1, loc_H=+1),\n",
    "        b=dict(loc_W=-1, loc_H=+1, pad_height=\"30um\"),\n",
    "        c=dict(loc_W=+1, loc_H=-1, pad_width=\"200um\"),\n",
    "        d=dict(loc_W=-1, loc_H=-1, pad_height=\"50um\"),\n",
    "    ),\n",
    ")\n",
    "\n",
    "q0 = TransmonPocket(\n",
    "    design, \"Q0\", options=dict(pos_x=\"-1.0mm\", pos_y=\"-1.0mm\", **options)\n",
    ")\n",
    "q1 = TransmonPocket(\n",
    "    design, \"Q1\", options=dict(pos_x=\"1.0mm\", pos_y=\"+0.0mm\", **options)\n",
    ")\n",
    "q2 = TransmonPocket(\n",
    "    design, \"Q2\", options=dict(pos_x=\"-1.0mm\", pos_y=\"0.0mm\", **options)\n",
    ")\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8f154d0d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:49.785379Z",
     "iopub.status.busy": "2026-08-08T04:39:49.785228Z",
     "iopub.status.idle": "2026-08-08T04:39:49.789623Z",
     "shell.execute_reply": "2026-08-08T04:39:49.788619Z"
    }
   },
   "outputs": [],
   "source": [
    "# gui.screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8763f71",
   "metadata": {},
   "source": [
    "Import the RoutePathfinder class and inspect what options are available for you to initialize."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ec34672b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:49.791975Z",
     "iopub.status.busy": "2026-08-08T04:39:49.791760Z",
     "iopub.status.idle": "2026-08-08T04:39:49.798888Z",
     "shell.execute_reply": "2026-08-08T04:39:49.797592Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'chip': 'main',\n",
       " 'layer': '1',\n",
       " 'pin_inputs': {'start_pin': {'component': '', 'pin': ''},\n",
       "  'end_pin': {'component': '', 'pin': ''}},\n",
       " 'fillet': '0',\n",
       " 'lead': {'start_straight': '0mm',\n",
       "  'end_straight': '0mm',\n",
       "  'start_jogged_extension': '',\n",
       "  'end_jogged_extension': ''},\n",
       " 'total_length': '7mm',\n",
       " 'trace_width': 'cpw_width',\n",
       " 'anchors': {},\n",
       " 'advanced': {'avoid_collision': 'true'},\n",
       " 'step_size': '0.25mm',\n",
       " 'hfss_wire_bonds': False,\n",
       " 'q3d_wire_bonds': False,\n",
       " 'aedt_q3d_wire_bonds': False,\n",
       " 'aedt_hfss_wire_bonds': False}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from qiskit_metal.qlibrary.tlines.pathfinder import RoutePathfinder\n",
    "\n",
    "RoutePathfinder.get_template_options(design)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09e7e554",
   "metadata": {},
   "source": [
    "Here we've set the fillet radius to be 90 microns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "52d4c2f5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:49.801236Z",
     "iopub.status.busy": "2026-08-08T04:39:49.801030Z",
     "iopub.status.idle": "2026-08-08T04:39:49.805076Z",
     "shell.execute_reply": "2026-08-08T04:39:49.804283Z"
    }
   },
   "outputs": [],
   "source": [
    "ops = dict(fillet=\"90um\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cec2013e",
   "metadata": {},
   "source": [
    "Using the 3-qubit arrangement from before, our goal is to connect pins on two of them. Moreover, we want some degree of control over how that path is constructed.\n",
    "This is where anchors come into play. Anchors are predefined points in space that the path must cross. They are stored in an ordered dictionary data structure that maps the\n",
    "anchor number to a numpy array of length 2. The anchor number is an integer, starting at 0, that determines that anchor point's position relative to the start pin; larger\n",
    "anchor numbers are farther along the path. The numpy array stores the x and y coordinates of the anchor.\n",
    "\n",
    "For this and the subsequent examples, we have chosen a step size of 0.25 mm, which means that the algorithm searches for valid paths to the next anchor point in increments\n",
    "of that amount. Valid paths do not collide with other components or self-intersect. The start and end pins are labelled by their component and component-specific pin, in\n",
    "this case Q0_b and Q1_b."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "929724c1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:49.807417Z",
     "iopub.status.busy": "2026-08-08T04:39:49.807272Z",
     "iopub.status.idle": "2026-08-08T04:39:50.064999Z",
     "shell.execute_reply": "2026-08-08T04:39:50.064592Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import numpy as np\n",
    "from collections import OrderedDict\n",
    "\n",
    "anchors = OrderedDict()\n",
    "anchors[0] = np.array([0.048, -0.555])\n",
    "anchors[1] = np.array([0.048, 0.195])\n",
    "\n",
    "options = {\n",
    "    \"pin_inputs\": {\n",
    "        \"start_pin\": {\"component\": \"Q0\", \"pin\": \"b\"},\n",
    "        \"end_pin\": {\"component\": \"Q1\", \"pin\": \"b\"},\n",
    "    },\n",
    "    \"lead\": {\"start_straight\": \"91um\", \"end_straight\": \"90um\"},\n",
    "    \"step_size\": \"0.25mm\",\n",
    "    \"anchors\": anchors,\n",
    "    **ops,\n",
    "}\n",
    "\n",
    "qa = RoutePathfinder(design, \"line\", options)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0e1f2932",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.066142Z",
     "iopub.status.busy": "2026-08-08T04:39:50.066075Z",
     "iopub.status.idle": "2026-08-08T04:39:50.140213Z",
     "shell.execute_reply": "2026-08-08T04:39:50.139867Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c33ae9c0",
   "metadata": {},
   "source": [
    "The current algorithm can only allow 1 such CPW to be built at a time, thus we delete old CPWs before building new ones."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7e790ee5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.141371Z",
     "iopub.status.busy": "2026-08-08T04:39:50.141303Z",
     "iopub.status.idle": "2026-08-08T04:39:50.257476Z",
     "shell.execute_reply": "2026-08-08T04:39:50.257083Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design.delete_component(\"line\")\n",
    "\n",
    "gui.rebuild()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7d05e9c",
   "metadata": {},
   "source": [
    "Now let's try wrapping the CPW around the outer edge of the bottom left qubit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "19b6e78d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.258607Z",
     "iopub.status.busy": "2026-08-08T04:39:50.258543Z",
     "iopub.status.idle": "2026-08-08T04:39:50.449064Z",
     "shell.execute_reply": "2026-08-08T04:39:50.448781Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anchors = OrderedDict()\n",
    "anchors[0] = np.array([-0.452, -0.555])\n",
    "anchors[1] = np.array([-0.452, -1.5])\n",
    "anchors[2] = np.array([0.048, -1.5])\n",
    "\n",
    "options = {\n",
    "    \"pin_inputs\": {\n",
    "        \"start_pin\": {\"component\": \"Q0\", \"pin\": \"b\"},\n",
    "        \"end_pin\": {\"component\": \"Q1\", \"pin\": \"b\"},\n",
    "    },\n",
    "    \"lead\": {\"start_straight\": \"91um\", \"end_straight\": \"90um\"},\n",
    "    \"step_size\": \"0.25mm\",\n",
    "    \"anchors\": anchors,\n",
    "    **ops,\n",
    "}\n",
    "\n",
    "qa = RoutePathfinder(design, \"line\", options)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f20a761d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.450333Z",
     "iopub.status.busy": "2026-08-08T04:39:50.450265Z",
     "iopub.status.idle": "2026-08-08T04:39:50.564603Z",
     "shell.execute_reply": "2026-08-08T04:39:50.564312Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design.delete_component(\"line\")\n",
    "\n",
    "gui.rebuild()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "80dc7b70",
   "metadata": {},
   "source": [
    "We can also try switching around the components/pins and not specifying any anchor points to see what happens."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "51373a15",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.565879Z",
     "iopub.status.busy": "2026-08-08T04:39:50.565806Z",
     "iopub.status.idle": "2026-08-08T04:39:50.738344Z",
     "shell.execute_reply": "2026-08-08T04:39:50.737898Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "options = {\n",
    "    \"pin_inputs\": {\n",
    "        \"start_pin\": {\"component\": \"Q0\", \"pin\": \"a\"},\n",
    "        \"end_pin\": {\"component\": \"Q2\", \"pin\": \"d\"},\n",
    "    },\n",
    "    \"lead\": {\"start_straight\": \"90um\", \"end_straight\": \"90um\"},\n",
    "    \"step_size\": \"0.25mm\",\n",
    "    **ops,\n",
    "}\n",
    "\n",
    "qa = RoutePathfinder(design, \"line\", options)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "25efdb10",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.739383Z",
     "iopub.status.busy": "2026-08-08T04:39:50.739317Z",
     "iopub.status.idle": "2026-08-08T04:39:50.800825Z",
     "shell.execute_reply": "2026-08-08T04:39:50.800435Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "14f037a1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.801862Z",
     "iopub.status.busy": "2026-08-08T04:39:50.801795Z",
     "iopub.status.idle": "2026-08-08T04:39:50.917057Z",
     "shell.execute_reply": "2026-08-08T04:39:50.916621Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "design.delete_component(\"line\")\n",
    "\n",
    "gui.rebuild()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1b2560a1",
   "metadata": {},
   "source": [
    "Or we can specify even more anchor points!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "95b19c44",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:50.918246Z",
     "iopub.status.busy": "2026-08-08T04:39:50.918178Z",
     "iopub.status.idle": "2026-08-08T04:39:51.116059Z",
     "shell.execute_reply": "2026-08-08T04:39:51.115606Z"
    },
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 800x800 with 2 Axes>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "anchors = OrderedDict()\n",
    "anchors[0] = np.array([-2, 0.5])\n",
    "anchors[1] = np.array([0, 0.5])\n",
    "anchors[2] = np.array([0, -1])\n",
    "anchors[3] = np.array([2, -1])\n",
    "\n",
    "options = {\n",
    "    \"pin_inputs\": {\n",
    "        \"start_pin\": {\"component\": \"Q0\", \"pin\": \"d\"},\n",
    "        \"end_pin\": {\"component\": \"Q1\", \"pin\": \"c\"},\n",
    "    },\n",
    "    \"step_size\": \"0.25mm\",\n",
    "    \"anchors\": anchors,\n",
    "    **ops,\n",
    "}\n",
    "\n",
    "qc = RoutePathfinder(design, \"line\", options)\n",
    "\n",
    "gui.rebuild()\n",
    "gui.autoscale()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7ba73427",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-08-08T04:39:51.117186Z",
     "iopub.status.busy": "2026-08-08T04:39:51.117120Z",
     "iopub.status.idle": "2026-08-08T04:39:51.180017Z",
     "shell.execute_reply": "2026-08-08T04:39:51.179649Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gui.screenshot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "788280ff",
   "metadata": {},
   "source": [
    "TODOs:\n",
    "\n",
    "1. CPW bounding boxes are not well-defined and cannot overlap right now. Bounding boxes should occupy as little\n",
    "area as possible to maximize space for other components.\n",
    "    Example: Connecting Q0_a and Q1_b ought to yield an S-shaped CPW but doesn't because there's supposedly a\n",
    "    bounding box with 0 area centered at the origin (0, 0).\n",
    "2. Rebuilding distorts previously well-defined CPWs.\n",
    "    Example: Connect Q0_a, Q1_c, then connect Q1_b and Q0_d.\n",
    "3. Enable anchor revision via the GUI.\n",
    "4. Save a persistent state in the design so that rebuilding doesn't waste time."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.11.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}