{
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   "source": [
    "<a href=\"figures/Banner.jpeg\">\n",
    "      <img src=\"figures/Banner.jpeg\" alt=\"image0\" width=\"100%\">\n",
    "</a>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2e1880e9",
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    "execution": {
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     "imports",
     "header_0"
    ]
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   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import rich  # noqa:F401\n",
    "from qcodes.parameters import ManualParameter\n",
    "from simulated_data import get_simulated_tof_data\n",
    "\n",
    "import quantify_core.data.handling as dh\n",
    "from quantify_core.analysis.time_of_flight_analysis import TimeOfFlightAnalysis\n",
    "from quantify_scheduler import BasicTransmonElement, QuantumDevice, Schedule, ScheduleGettable\n",
    "from quantify_scheduler.backends.qblox import constants\n",
    "from quantify_scheduler.math import closest_number_ceil\n",
    "from quantify_scheduler.operations import Measure\n",
    "\n",
    "from utils import (  # noqa:F401  # noqa:F401\n",
    "    display_dict,\n",
    "    initialize_hardware,\n",
    "    run_schedule,\n",
    "    show_connectivity,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f59b4c41",
   "metadata": {
    "execution": {
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     "shell.execute_reply": "2025-08-11T12:57:27.588994Z"
    },
    "tags": [
     "config",
     "header_1"
    ]
   },
   "outputs": [],
   "source": [
    "hw_config_path = \"configs/tuning_transmon_coupled_pair_hardware_config.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d5d7e5ff",
   "metadata": {
    "execution": {
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    },
    "tags": [
     "header_2"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data will be saved in:\n",
      "/root/quantify-data\n"
     ]
    }
   ],
   "source": [
    "# Enter your own dataset directory here!\n",
    "dh.set_datadir(dh.default_datadir())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "949ff993",
   "metadata": {
    "execution": {
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    },
    "lines_to_next_cell": 2,
    "tags": [
     "header_3"
    ]
   },
   "outputs": [],
   "source": [
    "quantum_device = QuantumDevice(\"transmon_device\")\n",
    "quantum_device.hardware_config.load_from_json_file(hw_config_path)\n",
    "qubit = BasicTransmonElement(\"q0\")\n",
    "qubit.measure.acq_channel(0)\n",
    "quantum_device.add_element(qubit)\n",
    "cluster_ip = None\n",
    "meas_ctrl, inst_coord, cluster = initialize_hardware(quantum_device, ip=cluster_ip)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "18242d85",
   "metadata": {},
   "source": [
    "# Time of flight measurement\n",
    "Here show how to measure time of flight for your system.\n",
    "This is useful to calibrate the acquisition delay for subsequent experiments."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0359503a",
   "metadata": {
    "tags": [
     "no_demo"
    ]
   },
   "source": [
    "## Setup\n",
    "In this section we configure the hardware configuration which specifies the connectivity of our system.\n",
    "\n",
    "The experiments of this tutorial are meant to be executed with a Qblox Cluster controlling a transmon system.\n",
    "The experiments can also be executed using a dummy Qblox device that is created via an instance of the `Cluster` class, and is initialized with a dummy configuration.\n",
    "When using a dummy device, the analysis will not work because the experiments will return `np.nan` values.\n",
    "\n",
    "### Configuration file\n",
    "\n",
    "This is a template hardware configuration file for a 2-qubit system with a flux-control line which can be used to tune the qubit frequency. We will only work with qubit 0.\n",
    "\n",
    "The hardware connectivity is as follows, by cluster slot:\n",
    "\n",
    "- **QCM** (Slot 2)\n",
    "  - $\\text{O}^{1}$: Flux line for `q0`.\n",
    "  - $\\text{O}^{2}$: Flux line for `q1`.\n",
    "\n",
    "- **QCM-RF** (Slot 6)\n",
    "  - $\\text{O}^{1}$: Drive line for `q0` using fixed 80 MHz IF.\n",
    "  - $\\text{O}^{2}$: Drive line for `q1` using fixed 80 MHz IF.\n",
    "\n",
    "- **QRM-RF** (Slot 8)\n",
    "  - $\\text{O}^{1}$ and $\\text{I}^{1}$: Shared readout line for `q0`/`q1` using a fixed LO set at 7.5 GHz.\n",
    "\n",
    "Note that in the hardware configuration below the mixers are uncorrected, but for high fidelity experiments this should also be done for all the modules."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3ef94d57",
   "metadata": {
    "lines_to_next_cell": 2,
    "tags": [
     "no_demo"
    ]
   },
   "source": [
    "### Quantum device settings\n",
    "Here we initialize our `QuantumDevice` and our qubit parameters,  checkout this [tutorial](https://quantify-os.org/docs/quantify-scheduler/tutorials/Operations%20and%20Qubits.html) for further details.\n",
    "\n",
    "In short, a `QuantumDevice` contains device elements where we save our found parameters. Here we are loading a template for 2 qubits, but we will only use qubit 0."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "35f4abea",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "## Schedule definition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "91237ba2",
   "metadata": {
    "execution": {
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   "source": [
    "def tof_trace_schedule(\n",
    "    qubit_name: str,\n",
    "    repetitions: int = 1,\n",
    ") -> Schedule:\n",
    "    schedule = Schedule(\"Trace measurement schedule\", repetitions=repetitions)\n",
    "    schedule.add(Measure(qubit_name, acq_protocol=\"Trace\"))\n",
    "    return schedule"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a89ae66f",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "## Measuring time of flight with trace acquisition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "352747b2",
   "metadata": {
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   "source": [
    "def set_readout_attenuation_hardware_config(attenuation_dB: int) -> None:\n",
    "    hwcfg = quantum_device.hardware_config()\n",
    "    output_att = hwcfg[\"hardware_options\"][\"output_att\"]\n",
    "    output_att[f\"{qubit.ports.readout()}-{qubit.name}.ro\"] = attenuation_dB\n",
    "    quantum_device.hardware_config(hwcfg)\n",
    "\n",
    "\n",
    "set_readout_attenuation_hardware_config(0)\n",
    "qubit.measure.pulse_duration(300e-9)\n",
    "qubit.measure.integration_time(1e-6)\n",
    "qubit.measure.pulse_amp(0.1)\n",
    "qubit.measure.acq_delay(4e-9)\n",
    "qubit.clock_freqs.readout(7.2e9)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0648aea2",
   "metadata": {
    "execution": {
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   "source": [
    "tof_t = ManualParameter(name=\"tof_t\", unit=\"ns\", label=\"Trace acquisition sample\")\n",
    "tof_t.batched = True\n",
    "tof_t.batch_size = round(qubit.measure.integration_time() * constants.SAMPLING_RATE)\n",
    "\n",
    "tof_sched_kwargs = dict(\n",
    "    qubit_name=qubit.name,\n",
    ")\n",
    "\n",
    "# set gettable\n",
    "gettable = ScheduleGettable(\n",
    "    quantum_device,\n",
    "    schedule_function=tof_trace_schedule,\n",
    "    schedule_kwargs=tof_sched_kwargs,\n",
    "    real_imag=False,\n",
    "    batched=True,\n",
    ")\n",
    "\n",
    "# set measurement control\n",
    "meas_ctrl.gettables(gettable)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "7c8fdc39",
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   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Starting batched measurement...\n",
      "Iterative settable(s) [outer loop(s)]:\n",
      "\t --- (None) --- \n",
      "Batched settable(s):\n",
      "\t tof_t \n",
      "Batch size limit: 1000\n",
      "\n"
     ]
    },
    {
     "data": {
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       "model_id": "81ef95c770df425bb3aa15f4f12b87ae",
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      },
      "text/plain": [
       "Completed:   0%|           [ elapsed time: 00:00 | time left: ? ] it"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tof_t_setpoints = np.arange(tof_t.batch_size)\n",
    "\n",
    "meas_ctrl.settables(tof_t)\n",
    "meas_ctrl.setpoints(tof_t_setpoints)\n",
    "\n",
    "if cluster_ip is None:\n",
    "\n",
    "    def dummy_gettable():\n",
    "        gettable.initialize()\n",
    "        return get_simulated_tof_data()\n",
    "\n",
    "    gettable.get = dummy_gettable\n",
    "\n",
    "tof_ds = dh.to_gridded_dataset(meas_ctrl.run(\"Time of flight measurement \" + qubit.name))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "63cf5cc5",
   "metadata": {
    "lines_to_next_cell": 0
   },
   "source": [
    "## Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "cab1a2d0",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# use fake data in case the cluster is a dummy\n",
    "tof_analysis = TimeOfFlightAnalysis(tuid=dh.get_latest_tuid())\n",
    "tof_analysis.run(playback_delay=149e-9).display_figs_mpl()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "aab55c12",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-08-11T12:57:29.074096Z",
     "iopub.status.busy": "2025-08-11T12:57:29.073927Z",
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