{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c104cb97",
   "metadata": {},
   "source": [
    "# Conditional Playback"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce31d8a5",
   "metadata": {},
   "source": [
    "In this tutorial we show how our Cluster Feedback capability (see section [Feedback](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/feedback.html)) can be used to send pulses dependent on the measurement outcome. Concretely, this tutorial will show how to perform active reset, which means sending a $\\pi$-pulse if (and only if) the qubit state equals $\\left|1\\right\\rangle$, to flip the qubit back to the $\\left|0\\right\\rangle$ state.\n",
    "\n",
    "This tutorial should be ran on a Cluster with at least two modules. A QRM or QRM-RF module is used to emulate qubit readout. For this tutorial we connect $\\text{O}^{1}$ and $\\text{O}^{2}$ to $\\text{I}^{1}$ and $\\text{I}^{2}$ of the QRM. Depending on the result acquired by this QRM, a second module (called QCM in this tutorial) is used to conditionally generate a $\\pi$-pulse. The output of this QCM can be visualized on an oscilloscope to verify the behavior of the system.\n",
    "\n",
    "To display the behavior of the QRM, its marker 1 should be used to trigger an oscilloscope. Marker 2 and marker 4 need to be connected to the oscilloscope when running the section `Active reset`.\n",
    "\n",
    "The tutorial will go through the following steps:\n",
    "- Calibrate the time of flight (TOF) from QRM output to QRM input.\n",
    "- Set up the thresholding to separate the $\\left|0\\right\\rangle$ and $\\left|1\\right\\rangle$ state.\n",
    "- Sending the qubit state through the feedback infrastructure.\n",
    "- Performing conditional pulses depending on the qubit state.\n",
    "\n",
    "To synchronize the modules, we use the SYNQ technology."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb140aec",
   "metadata": {},
   "source": [
    "## Setup\n",
    "\n",
    "First, we are going to import the required packages and connect to the instrument."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "eb907c4f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:45.499493Z",
     "iopub.status.busy": "2024-10-17T13:19:45.498840Z",
     "iopub.status.idle": "2024-10-17T13:19:46.798668Z",
     "shell.execute_reply": "2024-10-17T13:19:46.797681Z"
    }
   },
   "outputs": [],
   "source": [
    "from __future__ import annotations\n",
    "\n",
    "from typing import TYPE_CHECKING, Callable\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from matplotlib import colors\n",
    "from qcodes.instrument import find_or_create_instrument\n",
    "\n",
    "from qblox_instruments import Cluster, ClusterType\n",
    "\n",
    "if TYPE_CHECKING:\n",
    "    from qblox_instruments.qcodes_drivers.module import Module"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c7f4a245",
   "metadata": {},
   "source": [
    "### Scan For Clusters\n",
    "\n",
    "We scan for the available devices connected via ethernet using the Plug & Play functionality of the Qblox Instruments package (see [Plug & Play](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/api_reference/tools.html#api-pnp) for more info)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e70fed64",
   "metadata": {},
   "source": [
    "`!qblox-pnp list`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "29a6b095",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:46.803292Z",
     "iopub.status.busy": "2024-10-17T13:19:46.802592Z",
     "iopub.status.idle": "2024-10-17T13:19:46.807065Z",
     "shell.execute_reply": "2024-10-17T13:19:46.806128Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster_ip = \"10.10.200.42\"\n",
    "cluster_name = \"cluster0\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4d4910af",
   "metadata": {},
   "source": [
    "### Connect to Cluster\n",
    "\n",
    "We now make a connection with the Cluster."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "3a12758f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:46.811486Z",
     "iopub.status.busy": "2024-10-17T13:19:46.810829Z",
     "iopub.status.idle": "2024-10-17T13:19:47.670348Z",
     "shell.execute_reply": "2024-10-17T13:19:47.669743Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster = find_or_create_instrument(\n",
    "    Cluster,\n",
    "    recreate=True,\n",
    "    name=cluster_name,\n",
    "    identifier=cluster_ip,\n",
    "    dummy_cfg=(\n",
    "        {\n",
    "            2: ClusterType.CLUSTER_QCM,\n",
    "            4: ClusterType.CLUSTER_QRM,\n",
    "            6: ClusterType.CLUSTER_QCM_RF,\n",
    "            8: ClusterType.CLUSTER_QRM_RF,\n",
    "        }\n",
    "        if cluster_ip is None\n",
    "        else None\n",
    "    ),\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d48d0ee",
   "metadata": {
    "lines_to_next_cell": 2
   },
   "source": [
    "#### Get connected modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "86df4ee2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.673646Z",
     "iopub.status.busy": "2024-10-17T13:19:47.673209Z",
     "iopub.status.idle": "2024-10-17T13:19:47.677297Z",
     "shell.execute_reply": "2024-10-17T13:19:47.676689Z"
    }
   },
   "outputs": [],
   "source": [
    "def get_connected_modules(cluster: Cluster, filter_fn: Callable | None = None) -> dict[int, Module]:\n",
    "    def checked_filter_fn(mod: ClusterType) -> bool:\n",
    "        if filter_fn is not None:\n",
    "            return filter_fn(mod)\n",
    "        return True\n",
    "\n",
    "    return {\n",
    "        mod.slot_idx: mod for mod in cluster.modules if mod.present() and checked_filter_fn(mod)\n",
    "    }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7194fa87",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.680478Z",
     "iopub.status.busy": "2024-10-17T13:19:47.680031Z",
     "iopub.status.idle": "2024-10-17T13:19:47.706897Z",
     "shell.execute_reply": "2024-10-17T13:19:47.706315Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{4: <Module: cluster0_module4 of Cluster: cluster0>,\n",
       " 17: <Module: cluster0_module17 of Cluster: cluster0>}"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# QRM baseband modules\n",
    "readout_modules = get_connected_modules(cluster, lambda mod: mod.is_qrm_type and not mod.is_rf_type)\n",
    "readout_modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b6492a25",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.709945Z",
     "iopub.status.busy": "2024-10-17T13:19:47.709510Z",
     "iopub.status.idle": "2024-10-17T13:19:47.712532Z",
     "shell.execute_reply": "2024-10-17T13:19:47.711915Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module = readout_modules[4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "640521b5",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.715852Z",
     "iopub.status.busy": "2024-10-17T13:19:47.715359Z",
     "iopub.status.idle": "2024-10-17T13:19:47.738358Z",
     "shell.execute_reply": "2024-10-17T13:19:47.737750Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{2: <Module: cluster0_module2 of Cluster: cluster0>}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# QCM baseband modules\n",
    "control_modules = get_connected_modules(\n",
    "    cluster, lambda mod: not mod.is_qrm_type and not mod.is_rf_type\n",
    ")\n",
    "control_modules"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "ce2d9da3",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.741507Z",
     "iopub.status.busy": "2024-10-17T13:19:47.741062Z",
     "iopub.status.idle": "2024-10-17T13:19:47.744017Z",
     "shell.execute_reply": "2024-10-17T13:19:47.743446Z"
    },
    "lines_to_next_cell": 0
   },
   "outputs": [],
   "source": [
    "control_module = control_modules[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfe70633",
   "metadata": {},
   "source": [
    "## Sequencer configuration"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76f81af8",
   "metadata": {},
   "source": [
    "Define all waveforms necessary for this tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "c53f4207",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.747551Z",
     "iopub.status.busy": "2024-10-17T13:19:47.747122Z",
     "iopub.status.idle": "2024-10-17T13:19:47.752434Z",
     "shell.execute_reply": "2024-10-17T13:19:47.751841Z"
    }
   },
   "outputs": [],
   "source": [
    "waveform_length = 120\n",
    "t = np.arange(-80, 81, 1)\n",
    "sigma = 20\n",
    "# waveforms for readout pulses\n",
    "waveforms = {\n",
    "    \"zero\": {\"data\": [0.0] * 1024, \"index\": 0},\n",
    "    \"one\": {\"data\": [1.0] * 1024, \"index\": 1},\n",
    "    \"state0_I\": {\n",
    "        \"data\": [0.001] * waveform_length,\n",
    "        \"index\": 2,\n",
    "    },  # I waveform emulating a qubit in the 0 state\n",
    "    \"state0_Q\": {\n",
    "        \"data\": [0.001] * waveform_length,\n",
    "        \"index\": 3,\n",
    "    },  # Q waveform emulating a qubit in the 0 state\n",
    "    \"state1_I\": {\n",
    "        \"data\": [0.001] * waveform_length,\n",
    "        \"index\": 4,\n",
    "    },  # I waveform emulating a qubit in the 1 state\n",
    "    \"state1_Q\": {\n",
    "        \"data\": [0.003] * waveform_length,\n",
    "        \"index\": 5,\n",
    "    },  # Q waveform emulating a qubit in the 1 state\n",
    "    \"gauss\": {\"data\": list(np.exp(-(0.5 * t**2 / sigma**2))), \"index\": 6},\n",
    "    \"empty\": {\"data\": list(0.0 * t), \"index\": 7},\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85cde264",
   "metadata": {},
   "source": [
    "Specify acquisitions that are used in the tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b16c7983",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.755952Z",
     "iopub.status.busy": "2024-10-17T13:19:47.755502Z",
     "iopub.status.idle": "2024-10-17T13:19:47.758834Z",
     "shell.execute_reply": "2024-10-17T13:19:47.758240Z"
    }
   },
   "outputs": [],
   "source": [
    "acquisitions = {\n",
    "    \"state0\": {\"index\": 0, \"num_bins\": 1024},\n",
    "    \"state1\": {\"index\": 1, \"num_bins\": 1024},\n",
    "    \"single\": {\"index\": 2, \"num_bins\": 1},\n",
    "}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cd96724b",
   "metadata": {},
   "source": [
    "Set up sequencer parameters for both QRM and QCM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "47d22a5d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.762742Z",
     "iopub.status.busy": "2024-10-17T13:19:47.762111Z",
     "iopub.status.idle": "2024-10-17T13:19:47.837560Z",
     "shell.execute_reply": "2024-10-17T13:19:47.836960Z"
    }
   },
   "outputs": [],
   "source": [
    "integration_length = 120\n",
    "readout_module.sequencer0.integration_length_acq(integration_length)\n",
    "readout_module.sequencer0.sync_en(True)\n",
    "readout_module.sequencer0.nco_freq(50e6)\n",
    "readout_module.sequencer0.mod_en_awg(True)\n",
    "readout_module.sequencer0.demod_en_acq(True)\n",
    "\n",
    "control_module.sequencer1.sync_en(False)  # We will turn on the sync enable of the QCM later\n",
    "control_module.sequencer1.nco_freq(50e6)\n",
    "control_module.sequencer1.mod_en_awg(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "886ddb79",
   "metadata": {},
   "source": [
    "## Calibrate TOF"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c503981d",
   "metadata": {},
   "source": [
    "To ensure proper measurements, we must calibrate the time-of-flight (TOF). This is the time it takes for a signal to travel from the output to the input of the module. To do so, we first play an excitation pulse and acquire it back into"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "10624a62",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.841083Z",
     "iopub.status.busy": "2024-10-17T13:19:47.840617Z",
     "iopub.status.idle": "2024-10-17T13:19:47.843918Z",
     "shell.execute_reply": "2024-10-17T13:19:47.843277Z"
    }
   },
   "outputs": [],
   "source": [
    "prog = \"\"\"\n",
    "play    1, 0, 4     # start readout pulse\n",
    "acquire 2, 0, 16384 # start the 'single' acquisition sequence and wait for the length of the scope acquisition window\n",
    "stop\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b678c73f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.847060Z",
     "iopub.status.busy": "2024-10-17T13:19:47.846647Z",
     "iopub.status.idle": "2024-10-17T13:19:47.933751Z",
     "shell.execute_reply": "2024-10-17T13:19:47.933176Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.sequence(\n",
    "    {\"waveforms\": waveforms, \"program\": prog, \"acquisitions\": acquisitions, \"weights\": {}}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d286b389",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.936701Z",
     "iopub.status.busy": "2024-10-17T13:19:47.936285Z",
     "iopub.status.idle": "2024-10-17T13:19:47.955951Z",
     "shell.execute_reply": "2024-10-17T13:19:47.955374Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, State: STOPPED, Info Flags: FORCED_STOP, ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n"
     ]
    }
   ],
   "source": [
    "# Arm and start sequencer.\n",
    "readout_module.arm_sequencer(0)\n",
    "readout_module.start_sequencer()\n",
    "\n",
    "# Wait for the sequencer and acquisition to finish with a timeout period of one minute.\n",
    "readout_module.get_acquisition_status(0)\n",
    "readout_module.store_scope_acquisition(0, \"single\")\n",
    "# Print status of sequencer.\n",
    "print(readout_module.get_sequencer_status(0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "07dbaa85",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:47.958988Z",
     "iopub.status.busy": "2024-10-17T13:19:47.958527Z",
     "iopub.status.idle": "2024-10-17T13:19:48.025380Z",
     "shell.execute_reply": "2024-10-17T13:19:48.024754Z"
    }
   },
   "outputs": [],
   "source": [
    "p0 = np.array(readout_module.get_acquisitions(0)[\"single\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"])\n",
    "p1 = np.array(readout_module.get_acquisitions(0)[\"single\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"])\n",
    "# Determine when the signal crosses half-max for the first time (in ns)\n",
    "t_halfmax = np.where(np.abs(p0) > np.max(p0) / 2)[0][0]\n",
    "\n",
    "# The time it takes for a sine wave to reach its half-max value is (in ns)\n",
    "correction = 1 / readout_module.sequencer0.nco_freq() * 1e9 / 12\n",
    "\n",
    "tof_measured = t_halfmax - correction"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0c4c2023",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.028484Z",
     "iopub.status.busy": "2024-10-17T13:19:48.028083Z",
     "iopub.status.idle": "2024-10-17T13:19:48.394478Z",
     "shell.execute_reply": "2024-10-17T13:19:48.393949Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "r = readout_module.get_acquisitions(0)[\"single\"][\"acquisition\"][\"scope\"]\n",
    "plt.plot(r[\"path0\"][\"data\"], \".-\")\n",
    "plt.plot(r[\"path1\"][\"data\"], \".-\")\n",
    "plt.axvline(tof_measured, c=\"k\")\n",
    "plt.xlim(\n",
    "    tof_measured - 10 / readout_module.sequencer0.nco_freq() * 1e9,\n",
    "    tof_measured + 10 / readout_module.sequencer0.nco_freq() * 1e9,\n",
    ")\n",
    "plt.ylabel(\"Amplitude (V)\")\n",
    "plt.xlabel(\"Time (ns)\")\n",
    "plt.show()\n",
    "\n",
    "plt.plot(r[\"path0\"][\"data\"], \".-\")\n",
    "plt.plot(r[\"path1\"][\"data\"], \".-\")\n",
    "plt.axvline(1024 + tof_measured, c=\"k\")\n",
    "plt.xlim(\n",
    "    1024 + tof_measured - 10 / readout_module.sequencer0.nco_freq() * 1e9,\n",
    "    1024 + tof_measured + 10 / readout_module.sequencer0.nco_freq() * 1e9,\n",
    ")\n",
    "plt.ylabel(\"Amplitude (V)\")\n",
    "plt.xlabel(\"Time (ns)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7da96400",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.400799Z",
     "iopub.status.busy": "2024-10-17T13:19:48.400375Z",
     "iopub.status.idle": "2024-10-17T13:19:48.403826Z",
     "shell.execute_reply": "2024-10-17T13:19:48.403207Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Measured TOF: 151.33333333333334\n",
      "Rounded TOF:  151\n"
     ]
    }
   ],
   "source": [
    "tof = int(tof_measured)  # time of flight must be an integer\n",
    "print(\"Measured TOF:\", tof_measured)\n",
    "print(\"Rounded TOF: \", tof)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "452228f9",
   "metadata": {},
   "source": [
    "## Measure qubit histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "970ef696",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.412751Z",
     "iopub.status.busy": "2024-10-17T13:19:48.412352Z",
     "iopub.status.idle": "2024-10-17T13:19:48.415082Z",
     "shell.execute_reply": "2024-10-17T13:19:48.414586Z"
    }
   },
   "outputs": [],
   "source": [
    "prog = f\"\"\"\n",
    "    move 0, R0\n",
    "    start: set_mrk 1\n",
    "    play 2, 3, {tof}\n",
    "    acquire 0, R0, 120\n",
    "    play 4, 5, {tof}\n",
    "    acquire 1, R0, 120\n",
    "    add R0, 1, R0\n",
    "    wait 4000\n",
    "    jlt R0, 1024, @start\n",
    "    set_mrk 0\n",
    "    upd_param 4\n",
    "    stop\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "28f1cf60",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.418661Z",
     "iopub.status.busy": "2024-10-17T13:19:48.418229Z",
     "iopub.status.idle": "2024-10-17T13:19:48.507648Z",
     "shell.execute_reply": "2024-10-17T13:19:48.506813Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.sequence(\n",
    "    {\"waveforms\": waveforms, \"program\": prog, \"acquisitions\": acquisitions, \"weights\": {}}\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "f1cfb5df",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.511151Z",
     "iopub.status.busy": "2024-10-17T13:19:48.510708Z",
     "iopub.status.idle": "2024-10-17T13:19:48.547394Z",
     "shell.execute_reply": "2024-10-17T13:19:48.546834Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, State: STOPPED, Info Flags: ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n"
     ]
    }
   ],
   "source": [
    "readout_module.sequencer0.arm_sequencer()\n",
    "readout_module.sequencer0.start_sequencer()\n",
    "print(readout_module.sequencer0.get_sequencer_status(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "b9ab373c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.549815Z",
     "iopub.status.busy": "2024-10-17T13:19:48.549401Z",
     "iopub.status.idle": "2024-10-17T13:19:48.566662Z",
     "shell.execute_reply": "2024-10-17T13:19:48.566128Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.get_acquisition_status(1)\n",
    "data = readout_module.sequencer0.get_acquisitions()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "49a58fa8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.569414Z",
     "iopub.status.busy": "2024-10-17T13:19:48.569001Z",
     "iopub.status.idle": "2024-10-17T13:19:48.573187Z",
     "shell.execute_reply": "2024-10-17T13:19:48.572667Z"
    }
   },
   "outputs": [],
   "source": [
    "state0 = np.array(data[\"state0\"][\"acquisition\"][\"bins\"][\"integration\"][\"path0\"]) + 1j * np.array(\n",
    "    data[\"state0\"][\"acquisition\"][\"bins\"][\"integration\"][\"path1\"]\n",
    ")\n",
    "state1 = np.array(data[\"state1\"][\"acquisition\"][\"bins\"][\"integration\"][\"path0\"]) + 1j * np.array(\n",
    "    data[\"state1\"][\"acquisition\"][\"bins\"][\"integration\"][\"path1\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "52a8222e",
   "metadata": {},
   "source": [
    "Given this data, we can now determine the rotation and thresholding values to discriminate the $\\left|0\\right\\rangle$ state from the $\\left|1\\right\\rangle$ state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "a804fbb9",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.575637Z",
     "iopub.status.busy": "2024-10-17T13:19:48.575224Z",
     "iopub.status.idle": "2024-10-17T13:19:48.578988Z",
     "shell.execute_reply": "2024-10-17T13:19:48.578492Z"
    }
   },
   "outputs": [],
   "source": [
    "rotation = np.mod(-np.angle(np.mean(state1) - np.mean(state0)), 2 * np.pi)\n",
    "threshold = (np.exp(1j * rotation) * (np.mean(state1) + np.mean(state0))).real / 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "fb681776",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.581401Z",
     "iopub.status.busy": "2024-10-17T13:19:48.581003Z",
     "iopub.status.idle": "2024-10-17T13:19:48.770563Z",
     "shell.execute_reply": "2024-10-17T13:19:48.769973Z"
    },
    "tags": [
     "nbsphinx-thumbnail"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "scaling = 1000 / integration_length\n",
    "maxr = max(np.max(np.abs(state0)), np.max(np.abs(state1))) * scaling\n",
    "fig, ax = plt.subplots(1, 1)\n",
    "cmap_blue = colors.LinearSegmentedColormap.from_list(\"qblox\", [\"#00839F00\", \"#00839FFF\"])\n",
    "cmap_red = colors.LinearSegmentedColormap.from_list(\"qblox_red\", [\"#F2300000\", \"#F23000FF\"])\n",
    "ax.hexbin(state0.real * scaling, state0.imag * scaling, cmap=cmap_blue)\n",
    "ax.hexbin(state1.real * scaling, state1.imag * scaling, cmap=cmap_red)\n",
    "\n",
    "ax.set_xlim(-maxr, maxr)\n",
    "ax.set_ylim(-maxr, maxr)\n",
    "ax.plot(\n",
    "    ((1j * np.linspace(-maxr, maxr, 100) + threshold) * np.exp(-1j * rotation)).real * scaling,\n",
    "    ((1j * np.linspace(-maxr, maxr, 100) + threshold) * np.exp(-1j * rotation)).imag * scaling,\n",
    "    \"k\",\n",
    ")\n",
    "ax.set_xlabel(\"I (mV)\")\n",
    "ax.set_ylabel(\"Q (mV)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3e324b7f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.772622Z",
     "iopub.status.busy": "2024-10-17T13:19:48.772438Z",
     "iopub.status.idle": "2024-10-17T13:19:48.794549Z",
     "shell.execute_reply": "2024-10-17T13:19:48.793854Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.thresholded_acq_threshold(threshold)\n",
    "readout_module.sequencer0.thresholded_acq_rotation(rotation * 360 / (2 * np.pi))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2c044b01",
   "metadata": {},
   "source": [
    "Now that the rotation and thresholding values are programmed into the QRM module, the module will automatically assign a qubit state to every acquisition. By running the same sequence as before, we can check the the module is assigning the correct state to the qubit."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "e493516d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.797424Z",
     "iopub.status.busy": "2024-10-17T13:19:48.797132Z",
     "iopub.status.idle": "2024-10-17T13:19:48.836704Z",
     "shell.execute_reply": "2024-10-17T13:19:48.835921Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, State: STOPPED, Info Flags: ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n"
     ]
    }
   ],
   "source": [
    "readout_module.sequencer0.delete_acquisition_data(all=True)\n",
    "readout_module.sequencer0.arm_sequencer()\n",
    "readout_module.sequencer0.start_sequencer()\n",
    "print(readout_module.sequencer0.get_sequencer_status(1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "565e0102",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.839461Z",
     "iopub.status.busy": "2024-10-17T13:19:48.839200Z",
     "iopub.status.idle": "2024-10-17T13:19:48.857087Z",
     "shell.execute_reply": "2024-10-17T13:19:48.856235Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.get_acquisition_status(1)\n",
    "data = readout_module.sequencer0.get_acquisitions()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "218a35f6",
   "metadata": {},
   "source": [
    "To check that the assignments are made correctly, we calculate the confusion matrix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "da3b4922",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.859431Z",
     "iopub.status.busy": "2024-10-17T13:19:48.859166Z",
     "iopub.status.idle": "2024-10-17T13:19:48.865050Z",
     "shell.execute_reply": "2024-10-17T13:19:48.864286Z"
    }
   },
   "outputs": [],
   "source": [
    "confusion_matrix = [\n",
    "    [\n",
    "        np.sum(np.array(data[\"state0\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 0),\n",
    "        np.sum(np.array(data[\"state0\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 1),\n",
    "    ],\n",
    "    [\n",
    "        np.sum(np.array(data[\"state1\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 0),\n",
    "        np.sum(np.array(data[\"state1\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 1),\n",
    "    ],\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "806e8a6c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.867201Z",
     "iopub.status.busy": "2024-10-17T13:19:48.866946Z",
     "iopub.status.idle": "2024-10-17T13:19:48.941800Z",
     "shell.execute_reply": "2024-10-17T13:19:48.941008Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 621x621 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = plt.matshow(confusion_matrix, cmap=\"Blues\", vmin=0, vmax=1024)\n",
    "ax = plt.gca()\n",
    "for i in [0, 1]:\n",
    "    for j in [0, 1]:\n",
    "        ax.annotate(\n",
    "            confusion_matrix[i][j],\n",
    "            xy=(j, i),\n",
    "            horizontalalignment=\"center\",\n",
    "            verticalalignment=\"center\",\n",
    "            color=p.cmap(1024 - confusion_matrix[i][j]),\n",
    "        )\n",
    "plt.xlabel(\"Assigned state\")\n",
    "plt.ylabel(\"Qubit state\")\n",
    "plt.xticks([0, 1], [\"|0>\", \"|1>\"])\n",
    "plt.yticks([0, 1], [\"|0>\", \"|1>\"])\n",
    "ax.xaxis.set_ticks_position(\"bottom\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "70bd9a11",
   "metadata": {},
   "source": [
    "## Sending results on the trigger network"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c076b64d",
   "metadata": {},
   "source": [
    "Now that the module can correctly identify the qubit state, we want to send this result to all other modules in the Cluster. Hence we must enable this functionality and specify an address used for sending these triggers. In this tutorial, we will only use address 1. Note that only one trigger can be sent simultaneously, even if the address is different."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "f960a70c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.944678Z",
     "iopub.status.busy": "2024-10-17T13:19:48.944483Z",
     "iopub.status.idle": "2024-10-17T13:19:48.966329Z",
     "shell.execute_reply": "2024-10-17T13:19:48.965614Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.thresholded_acq_trigger_address(1)\n",
    "readout_module.sequencer0.thresholded_acq_trigger_en(True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0de6e8ea",
   "metadata": {},
   "source": [
    "To verify that the correct triggers are being sent, we can use the trigger monitor. This monitor can be reset with the following command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c9ebe819",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.969468Z",
     "iopub.status.busy": "2024-10-17T13:19:48.969270Z",
     "iopub.status.idle": "2024-10-17T13:19:48.973341Z",
     "shell.execute_reply": "2024-10-17T13:19:48.972511Z"
    }
   },
   "outputs": [],
   "source": [
    "cluster.reset_trigger_monitor_count(address=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f7ed69a",
   "metadata": {},
   "source": [
    "Such that the monitor reports both a total trigger count of 0 and no latest trigger (also represented by the value 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "ddf14020",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.976331Z",
     "iopub.status.busy": "2024-10-17T13:19:48.976146Z",
     "iopub.status.idle": "2024-10-17T13:19:48.982204Z",
     "shell.execute_reply": "2024-10-17T13:19:48.981694Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0, 1)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster.trigger1_monitor_count(), cluster.trigger_monitor_latest()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd78fcdc",
   "metadata": {},
   "source": [
    "Now, to verify the Cluster is configured correctly, let us run the above program one more time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "f038235f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:48.984338Z",
     "iopub.status.busy": "2024-10-17T13:19:48.984136Z",
     "iopub.status.idle": "2024-10-17T13:19:49.036421Z",
     "shell.execute_reply": "2024-10-17T13:19:49.035694Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.delete_acquisition_data(all=True)\n",
    "readout_module.sequencer0.arm_sequencer()\n",
    "readout_module.sequencer0.start_sequencer()\n",
    "readout_module.sequencer0.get_sequencer_status(1)\n",
    "readout_module.sequencer0.get_acquisition_status(1)\n",
    "data = readout_module.sequencer0.get_acquisitions()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "17a8a346",
   "metadata": {},
   "source": [
    "The number of triggers received by the monitor should be equal to the number of measurements that have been classified as the $\\left|1\\right\\rangle$ state."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "6c01f210",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.039552Z",
     "iopub.status.busy": "2024-10-17T13:19:49.039350Z",
     "iopub.status.idle": "2024-10-17T13:19:49.044509Z",
     "shell.execute_reply": "2024-10-17T13:19:49.043789Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Acquisition: 1024\n",
      "Monitor:     1024\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    \"Acquisition:\",\n",
    "    np.sum(np.array(data[\"state0\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 1)\n",
    "    + np.sum(np.array(data[\"state1\"][\"acquisition\"][\"bins\"][\"threshold\"]) == 1),\n",
    ")\n",
    "print(\"Monitor:    \", cluster.trigger1_monitor_count())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4bcab733",
   "metadata": {},
   "source": [
    "The most recent trigger that has been received should now be equal to 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "259fe464",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.047140Z",
     "iopub.status.busy": "2024-10-17T13:19:49.046953Z",
     "iopub.status.idle": "2024-10-17T13:19:49.052000Z",
     "shell.execute_reply": "2024-10-17T13:19:49.051272Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cluster.trigger_monitor_latest()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b0399c2",
   "metadata": {},
   "source": [
    "Besides investigating the sent triggers using this monitor, it can be convenient to visualize the triggers on an oscilloscope as they are being sent. In order the enable sending the trigger on marker 4, use the following commands. Enabling triggers on the marker outputs can also be used to control external equipment based on the measurement results."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "715944ae",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.054715Z",
     "iopub.status.busy": "2024-10-17T13:19:49.054529Z",
     "iopub.status.idle": "2024-10-17T13:19:49.076456Z",
     "shell.execute_reply": "2024-10-17T13:19:49.075759Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.thresholded_acq_marker_en(True)\n",
    "readout_module.sequencer0.thresholded_acq_marker_address(8)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "40158fbe",
   "metadata": {},
   "source": [
    "Now connect your marker output 4 to the oscilloscope and run the following cell."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "1da7ace1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.079339Z",
     "iopub.status.busy": "2024-10-17T13:19:49.079166Z",
     "iopub.status.idle": "2024-10-17T13:19:49.087522Z",
     "shell.execute_reply": "2024-10-17T13:19:49.086792Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.sequencer0.arm_sequencer()\n",
    "readout_module.sequencer0.start_sequencer()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbe18413",
   "metadata": {},
   "source": [
    "The following image can be obtained on the oscilloscope (C1 (yellow) is the marker 1 output whereas C3(blue) is marker 4 output:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d45c86db",
   "metadata": {},
   "source": [
    "![SDS6204A_PNG_5 (2).png](9d786b40-430b-47ab-9721-94f3e25fd196.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39feec26",
   "metadata": {
    "tags": []
   },
   "source": [
    "## Active reset"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bad33327",
   "metadata": {},
   "source": [
    "As the final part of this tutorial, we will show how the triggers we have been generating above, can be used to affect the behavior of other sequencers in the Cluster. We will show this capability using a active reset protocol as an example. Basically, in order to perform active reset on a qubit, we must first measure the qubit state, and if the state equals $\\left|1\\right\\rangle$, we must play a $\\pi$-pulse to flip the qubit back to the $\\left|0\\right\\rangle$ state."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "97168925",
   "metadata": {},
   "source": [
    "In a real qubit setup, the QRM would play identical readout pulses and the actual qubit state would influence the acquisition result. For this tutorial, in lieu of a qubit, we determine the qubit state results in advance for the QRM, and play a different waveform depending on this pre-determined state. To still properly demonstrate the feedback capability, we ensure that the QCM is not aware of the pre-determined choices in advance, as it can figure out from the acquisitions results whether it should play a $\\pi$-pulse."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83adba31",
   "metadata": {},
   "source": [
    "Generate 100 random qubit states:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "2f911e37",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.089574Z",
     "iopub.status.busy": "2024-10-17T13:19:49.089406Z",
     "iopub.status.idle": "2024-10-17T13:19:49.093814Z",
     "shell.execute_reply": "2024-10-17T13:19:49.093130Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1, 1, 0,\n",
       "       0, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 0, 1, 0, 1, 1, 0,\n",
       "       0, 1, 1, 0, 1, 1, 0, 1, 0, 1, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0,\n",
       "       0, 0, 0, 0, 0, 1, 1, 1, 0, 0, 0, 1, 1, 0, 1, 1, 0, 1, 1, 1, 0, 1,\n",
       "       0, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 0])"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "length = 100\n",
    "states = np.random.choice(2, length)\n",
    "states"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "013f9005",
   "metadata": {},
   "source": [
    "For the QRM program, this means playing waveforms `'state0_I'` and `'state0_Q'` if the qubit state has to appear as $\\left|0\\right\\rangle$ while playing waveforms `'state1_I'` and `'state1_Q'` if the qubit state has to appear as $\\left|1\\right\\rangle$."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "28fb17c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.095569Z",
     "iopub.status.busy": "2024-10-17T13:19:49.095401Z",
     "iopub.status.idle": "2024-10-17T13:19:49.098920Z",
     "shell.execute_reply": "2024-10-17T13:19:49.098216Z"
    }
   },
   "outputs": [],
   "source": [
    "qrm_prog = \"\"\"\n",
    "wait_sync 4\n",
    "set_mrk 1\n",
    "upd_param 1000\n",
    "move 0, R0\n",
    "\"\"\"\n",
    "for s in states:\n",
    "    if s == 1:\n",
    "        qrm_prog += f\"\"\"set_mrk 3\n",
    "        play 4, 5, {tof}\n",
    "        set_mrk 1\"\"\"\n",
    "    else:\n",
    "        qrm_prog += f\"play 2, 3, {tof}\"\n",
    "    qrm_prog += \"\"\"\n",
    "    acquire 0, R0, 120\n",
    "    wait 1000\n",
    "    \"\"\"\n",
    "qrm_prog += \"\"\"set_mrk 0\n",
    "upd_param 1000\n",
    "stop\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bcc54445",
   "metadata": {},
   "source": [
    "So, in order to achieve feedback from the QRM module, we only had to set the thresholding and trigger parameters without any changes to the Q1ASM program. On the receiving side, for the QCM, the feedback is controlled via Q1ASM, however. Let's build up the program step by step."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2bf1f941",
   "metadata": {},
   "source": [
    "First, we need to tell the module to listen for triggers on address 1 with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "9da9bfc0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.100763Z",
     "iopub.status.busy": "2024-10-17T13:19:49.100562Z",
     "iopub.status.idle": "2024-10-17T13:19:49.103404Z",
     "shell.execute_reply": "2024-10-17T13:19:49.102793Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog = \"set_latch_en 1, 4     # Enabling listening to triggers on address 1\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ec2c53d1",
   "metadata": {},
   "source": [
    "We can then sync with the other module and program our loop:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "dffbe3f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.105246Z",
     "iopub.status.busy": "2024-10-17T13:19:49.105056Z",
     "iopub.status.idle": "2024-10-17T13:19:49.107971Z",
     "shell.execute_reply": "2024-10-17T13:19:49.107338Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog += f\"\"\"\n",
    "wait_sync 4\n",
    "wait 1000\n",
    "move {len(states)}, R0\n",
    "s:\n",
    "\"\"\"\n",
    "# Here we need to write the code to receive and react to triggers\n",
    "# Therefore, we store then end of the program in a separate variable for now\n",
    "qcm_prog_tail = \"\"\"\n",
    "loop R0, @s\n",
    "stop\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afc888e8",
   "metadata": {},
   "source": [
    "For every iteration of our loop, we first need to clear any received triggers and then wait for any new trigger to come in:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "37f50f39",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.109715Z",
     "iopub.status.busy": "2024-10-17T13:19:49.109547Z",
     "iopub.status.idle": "2024-10-17T13:19:49.112367Z",
     "shell.execute_reply": "2024-10-17T13:19:49.111748Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog += f\"\"\"\n",
    "latch_rst {tof+120}   # Deletes all previously received triggers\n",
    "wait      300         # gives the acquisition result time to be received by the QCM\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5b084db",
   "metadata": {},
   "source": [
    "Next, we program a conditional play instruction. In order to mark a `play`, `acquire`, `acquire_weighed` or `wait` instruction as conditional, we open a conditionality block using the `set_cond <enable> <address_mask> <operator> <else_wait>` instruction.\n",
    "\n",
    "The `<enable>` argument sets whether subsequent real-time pipeline instructions are conditional or not. In case a conditional instruction is skipped, the `<else_wait>` argument determines how long the real-time pipeline will stall (minimum is 4 ns).\n",
    "\n",
    "The `<address_mask>` and `<operator>` determine the conditionality, if the condition evaluates to `True` the instruction es executed, otherwise the instruction will be skipped (equivalent to a `wait <else_wait>` instruction).\n",
    "\n",
    "When only listening to a single trigger address, the `<address mask>` should be made equal to `2**(address-1)` and the `<operator>` should be `0` for `OR` or `2` for `AND` (both having the same effect for a single input, feedback based on multiple trigger addresses is not covered in this tutorial). To invert the conditional, `<operator>` `1` for `NOR` or `3` for `NAND` can be used.\n",
    "\n",
    "For active reset, we can enable the conditional with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "200896e8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.114137Z",
     "iopub.status.busy": "2024-10-17T13:19:49.113947Z",
     "iopub.status.idle": "2024-10-17T13:19:49.116681Z",
     "shell.execute_reply": "2024-10-17T13:19:49.116056Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog += \"\"\"\n",
    "set_cond 1, 1, 0, 700 # Enable conditional commands\n",
    "\"\"\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "139a2cca",
   "metadata": {},
   "source": [
    "Next we can invoke our play command as usual:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "87716fe8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.118382Z",
     "iopub.status.busy": "2024-10-17T13:19:49.118217Z",
     "iopub.status.idle": "2024-10-17T13:19:49.120980Z",
     "shell.execute_reply": "2024-10-17T13:19:49.120318Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog += \"play 6, 7, 700\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b711379",
   "metadata": {},
   "source": [
    "Finally, do not forget to disable the conditional commands again (after the first `0`, the parameters do not matter):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "10c5dd9c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.122794Z",
     "iopub.status.busy": "2024-10-17T13:19:49.122624Z",
     "iopub.status.idle": "2024-10-17T13:19:49.125773Z",
     "shell.execute_reply": "2024-10-17T13:19:49.125153Z"
    }
   },
   "outputs": [],
   "source": [
    "qcm_prog += (\n",
    "    \"\"\"\n",
    "set_cond 0, 1, 0, 700 # Disable conditional commands again\n",
    "\"\"\"\n",
    "    + qcm_prog_tail\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "57b96c44",
   "metadata": {},
   "source": [
    "In summary, the complete QCM program is:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "dd8fa6ee",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.128046Z",
     "iopub.status.busy": "2024-10-17T13:19:49.127742Z",
     "iopub.status.idle": "2024-10-17T13:19:49.131909Z",
     "shell.execute_reply": "2024-10-17T13:19:49.131068Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "set_latch_en 1, 4     # Enabling listening to triggers on address 1\n",
      "wait_sync 4\n",
      "wait 1000\n",
      "move 100, R0\n",
      "s:\n",
      "\n",
      "latch_rst 271   # Deletes all previously received triggers\n",
      "wait      300         # gives the acquisition result time to be received by the QCM\n",
      "\n",
      "set_cond 1, 1, 0, 700 # Enable conditional commands\n",
      "play 6, 7, 700\n",
      "set_cond 0, 1, 0, 700 # Disable conditional commands again\n",
      "\n",
      "loop R0, @s\n",
      "stop\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(qcm_prog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "602738c6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.134414Z",
     "iopub.status.busy": "2024-10-17T13:19:49.134045Z",
     "iopub.status.idle": "2024-10-17T13:19:49.311599Z",
     "shell.execute_reply": "2024-10-17T13:19:49.310855Z"
    }
   },
   "outputs": [],
   "source": [
    "control_module.sequencer1.sync_en(True)  # We did not enable the sync on the QCM sequencer yet\n",
    "\n",
    "readout_module.sequencer0.sequence(\n",
    "    {\"waveforms\": waveforms, \"program\": qrm_prog, \"acquisitions\": acquisitions, \"weights\": {}}\n",
    ")\n",
    "readout_module.sequencer0.arm_sequencer()\n",
    "\n",
    "control_module.sequencer1.sequence(\n",
    "    {\"waveforms\": waveforms, \"program\": qcm_prog, \"acquisitions\": acquisitions, \"weights\": {}}\n",
    ")\n",
    "control_module.sequencer1.arm_sequencer()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "055c4845",
   "metadata": {},
   "source": [
    "We are all set to witness the conditional playback! Please make sure that you have connected the QCM output 0 to the oscilloscope along with the marker 1 of QRM as trigger and marker 4."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "677c789d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.314455Z",
     "iopub.status.busy": "2024-10-17T13:19:49.314192Z",
     "iopub.status.idle": "2024-10-17T13:19:49.322228Z",
     "shell.execute_reply": "2024-10-17T13:19:49.321617Z"
    }
   },
   "outputs": [],
   "source": [
    "readout_module.start_sequencer()\n",
    "control_module.start_sequencer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a8a6bcdc",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.325256Z",
     "iopub.status.busy": "2024-10-17T13:19:49.324648Z",
     "iopub.status.idle": "2024-10-17T13:19:49.335263Z",
     "shell.execute_reply": "2024-10-17T13:19:49.334361Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QRM:\n",
      "Status: OKAY, State: STOPPED, Info Flags: ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n",
      "QCM:\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, State: STOPPED, Info Flags: NONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n"
     ]
    }
   ],
   "source": [
    "print(\"QRM:\")\n",
    "print(readout_module.get_sequencer_status(0))\n",
    "print(\"QCM:\")\n",
    "print(control_module.get_sequencer_status(0))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4b9a0150",
   "metadata": {},
   "source": [
    "On the oscilloscope, you should see an image as below (CH1 (yellow) : Marker 1, CH2 (pink): Marker 2, CH3(blue) : QCM Output 0, CH4(green) : Marker 4). Marker 2 activation corresponds to a state 1 signal by QRM which is confirmed by the Marker 4\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6b859f2",
   "metadata": {},
   "source": [
    "![image.png](5a08cf99-6cfa-49a0-94c7-accea41f8c21.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0953eecc",
   "metadata": {},
   "source": [
    "## Stop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "886e621f",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-10-17T13:19:49.338261Z",
     "iopub.status.busy": "2024-10-17T13:19:49.337640Z",
     "iopub.status.idle": "2024-10-17T13:19:51.794675Z",
     "shell.execute_reply": "2024-10-17T13:19:51.793862Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QCM :\n",
      "Status: OKAY, State: STOPPED, Info Flags: NONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n",
      "\n",
      "QRM :\n",
      "Status: OKAY, State: STOPPED, Info Flags: FORCED_STOP, ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE, Warning Flags: NONE, Error Flags: NONE, Log: []\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Status: OKAY, Flags: NONE, Slot flags: NONE\n"
     ]
    }
   ],
   "source": [
    "# Stop sequencers.\n",
    "control_module.stop_sequencer()\n",
    "readout_module.stop_sequencer()\n",
    "\n",
    "# Print status of sequencers.\n",
    "print(\"QCM :\")\n",
    "print(control_module.get_sequencer_status(0))\n",
    "print()\n",
    "\n",
    "print(\"QRM :\")\n",
    "print(readout_module.get_sequencer_status(0))\n",
    "print()\n",
    "\n",
    "# Reset the cluster\n",
    "cluster.reset()\n",
    "print(cluster.get_system_status())"
   ]
  }
 ],
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