{ "cells": [ { "cell_type": "markdown", "id": "f67c4af7", "metadata": {}, "source": [ "# Discriminated Single Shot Readout\n", "The notebook will show how to run a readout calibration experiment and fit a discriminator with a linear discriminant analysis.\n", "This experiment is sometimes called multi-state discrimination." ] }, { "cell_type": "code", "execution_count": 1, "id": "958b49c9", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:46.366101Z", "iopub.status.busy": "2024-10-17T13:11:46.365811Z", "iopub.status.idle": "2024-10-17T13:11:48.061037Z", "shell.execute_reply": "2024-10-17T13:11:48.060180Z" } }, "outputs": [], "source": [ "from functools import partial\n", "from typing import Literal\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "from qcodes.parameters import ManualParameter\n", "from sklearn.metrics import ConfusionMatrixDisplay\n", "\n", "import quantify_core.data.handling as dh\n", "from quantify_core.analysis.readout_calibration_analysis import ReadoutCalibrationAnalysis\n", "from quantify_scheduler import Schedule\n", "from quantify_scheduler.enums import BinMode\n", "from quantify_scheduler.gettables import ScheduleGettable\n", "from quantify_scheduler.operations.gate_library import Measure, Reset, Rxy" ] }, { "cell_type": "code", "execution_count": 2, "id": "65d9a524", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.064063Z", "iopub.status.busy": "2024-10-17T13:11:48.063317Z", "iopub.status.idle": "2024-10-17T13:11:48.071662Z", "shell.execute_reply": "2024-10-17T13:11:48.071035Z" } }, "outputs": [], "source": [ "import json\n", "\n", "import rich # noqa:F401\n", "\n", "import quantify_core.data.handling as dh\n", "from quantify_scheduler.device_under_test.quantum_device import QuantumDevice\n", "\n", "from utils import initialize_hardware, run # noqa:F401" ] }, { "cell_type": "markdown", "id": "6d97e2e4", "metadata": {}, "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", "- **QCM** (Slot 2)\n", " - $\\text{O}^{1}$: Flux line for `q0`.\n", " - $\\text{O}^{2}$: Flux line for `q1`.\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", "- **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": "code", "execution_count": 3, "id": "cd363199", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.073648Z", "iopub.status.busy": "2024-10-17T13:11:48.073479Z", "iopub.status.idle": "2024-10-17T13:11:48.077903Z", "shell.execute_reply": "2024-10-17T13:11:48.077187Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Data will be saved in:\n", "/root/quantify-data\n" ] } ], "source": [ "with open(\"configs/tuning_transmon_coupled_pair_hardware_config.json\") as hw_cfg_json_file:\n", " hardware_cfg = json.load(hw_cfg_json_file)\n", "\n", "# Enter your own dataset directory here!\n", "dh.set_datadir(dh.default_datadir())" ] }, { "cell_type": "markdown", "id": "d85bf350", "metadata": {}, "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": "code", "execution_count": 4, "id": "0e83223d", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.080383Z", "iopub.status.busy": "2024-10-17T13:11:48.080214Z", "iopub.status.idle": "2024-10-17T13:11:48.612023Z", "shell.execute_reply": "2024-10-17T13:11:48.611264Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/usr/local/lib/python3.9/site-packages/quantify_scheduler/backends/types/qblox.py:1220: ValidationWarning: Setting `auto_lo_cal=on_lo_interm_freq_change` will overwrite settings `dc_offset_i=0.0` and `dc_offset_q=0.0`. To suppress this warning, do not set either `dc_offset_i` or `dc_offset_q` for this port-clock.\n", " warnings.warn(\n", "/usr/local/lib/python3.9/site-packages/quantify_scheduler/backends/types/qblox.py:1235: ValidationWarning: Setting `auto_sideband_cal=on_interm_freq_change` will overwrite settings `amp_ratio=1.0` and `phase_error=0.0`. To suppress this warning, do not set either `amp_ratio` or `phase_error` for this port-clock.\n", " warnings.warn(\n" ] } ], "source": [ "quantum_device = QuantumDevice.from_json_file(\"devices/transmon_device_2q.json\")\n", "qubit = quantum_device.get_element(\"q0\")\n", "quantum_device.hardware_config(hardware_cfg)\n", "meas_ctrl, _, cluster = initialize_hardware(quantum_device, ip=None)" ] }, { "cell_type": "markdown", "id": "8e0b6a43", "metadata": { "lines_to_next_cell": 0 }, "source": [ "## Schedule definition" ] }, { "cell_type": "code", "execution_count": 5, "id": "fc7f6c65", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.615145Z", "iopub.status.busy": "2024-10-17T13:11:48.614955Z", "iopub.status.idle": "2024-10-17T13:11:48.620521Z", "shell.execute_reply": "2024-10-17T13:11:48.619785Z" } }, "outputs": [], "source": [ "def readout_calibration_sched(\n", " qubit: str,\n", " prepared_states: list[int],\n", " repetitions: int = 1,\n", " acq_protocol: Literal[\n", " \"SSBIntegrationComplex\", \"ThresholdedAcquisition\"\n", " ] = \"SSBIntegrationComplex\",\n", ") -> Schedule:\n", " \"\"\"\n", " Make a schedule for readout calibration.\n", "\n", " Parameters\n", " ----------\n", " qubit\n", " The name of the qubit e.g., :code:`\"q0\"` to perform the experiment on.\n", " prepared_states\n", " A list of integers indicating which state to prepare the qubit in before measuring.\n", " The ground state corresponds to 0 and the first-excited state to 1.\n", " repetitions\n", " The number of times the schedule will be repeated. Fixed to 1 for this schedule.\n", " acq_protocol\n", " The acquisition protocol used for the readout calibration. By default\n", " \"SSBIntegrationComplex\", but \"ThresholdedAcquisition\" can be\n", " used for verifying thresholded acquisition parameters.\n", "\n", " Returns\n", " -------\n", " :\n", " An experiment schedule.\n", "\n", " Raises\n", " ------\n", " NotImplementedError\n", " If the prepared state is > 1.\n", "\n", " \"\"\"\n", " schedule = Schedule(f\"Readout calibration {qubit}\", repetitions=1)\n", "\n", " for i, prep_state in enumerate(prepared_states):\n", " schedule.add(Reset(qubit), label=f\"Reset {i}\")\n", " if prep_state == 0:\n", " pass\n", " elif prep_state == 1:\n", " schedule.add(Rxy(qubit=qubit, theta=180, phi=0))\n", " else:\n", " raise NotImplementedError(\n", " \"Preparing the qubit in the higher excited states is not supported yet.\"\n", " )\n", " schedule.add(\n", " Measure(qubit, acq_index=i, bin_mode=BinMode.APPEND, acq_protocol=acq_protocol),\n", " label=f\"Measurement {i}\",\n", " )\n", " return schedule" ] }, { "cell_type": "markdown", "id": "c4b99379", "metadata": { "lines_to_next_cell": 0 }, "source": [ "## SSRO with single side band (SSB) integration" ] }, { "cell_type": "code", "execution_count": 6, "id": "e91f547e", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.623213Z", "iopub.status.busy": "2024-10-17T13:11:48.623032Z", "iopub.status.idle": "2024-10-17T13:11:48.627291Z", "shell.execute_reply": "2024-10-17T13:11:48.626558Z" }, "lines_to_next_cell": 0 }, "outputs": [], "source": [ "states = ManualParameter(name=\"states\", unit=\"\", label=\"Prepared state\")\n", "states.batch_size = 400\n", "states.batched = True\n", "\n", "readout_calibration_sched_kwargs = dict(\n", " qubit=qubit.name, prepared_states=states, acq_protocol=\"SSBIntegrationComplex\"\n", ")\n", "\n", "# set gettable\n", "ssro_gettable = ScheduleGettable(\n", " quantum_device,\n", " schedule_function=readout_calibration_sched,\n", " schedule_kwargs=readout_calibration_sched_kwargs,\n", " real_imag=True,\n", " batched=True,\n", ")\n", "\n", "# set measurement control\n", "meas_ctrl.gettables(ssro_gettable)" ] }, { "cell_type": "code", "execution_count": 7, "id": "f824de9c", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.629196Z", "iopub.status.busy": "2024-10-17T13:11:48.629027Z", "iopub.status.idle": "2024-10-17T13:11:48.781659Z", "shell.execute_reply": "2024-10-17T13:11:48.780918Z" } }, "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 states \n", "Batch size limit: 400\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "ca0b4d31076b4f659018f1311d77f7cd", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Completed: 0%| [ elapsed time: 00:00 | time left: ? ] it" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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       "Coordinates:\n",
       "  * x0       (x0) int64 16kB 0 1 0 1 0 1 0 1 0 1 0 1 ... 0 1 0 1 0 1 0 1 0 1 0 1\n",
       "Data variables:\n",
       "    y0       (x0) float64 16kB 0.01189 0.0378 0.02313 ... 0.01414 0.02356\n",
       "    y1       (x0) float64 16kB 0.02268 0.03666 0.007555 ... 0.003173 0.03313\n",
       "Attributes:\n",
       "    tuid:                             20241017-131148-633-d0a379\n",
       "    name:                             Single shot readout experiment\n",
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" ], "text/plain": [ " Size: 48kB\n", "Dimensions: (x0: 2000)\n", "Coordinates:\n", " * x0 (x0) int64 16kB 0 1 0 1 0 1 0 1 0 1 0 1 ... 0 1 0 1 0 1 0 1 0 1 0 1\n", "Data variables:\n", " y0 (x0) float64 16kB 0.01189 0.0378 0.02313 ... 0.01414 0.02356\n", " y1 (x0) float64 16kB 0.02268 0.03666 0.007555 ... 0.003173 0.03313\n", "Attributes:\n", " tuid: 20241017-131148-633-d0a379\n", " name: Single shot readout experiment\n", " grid_2d: False\n", " grid_2d_uniformly_spaced: False\n", " 1d_2_settables_uniformly_spaced: False" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "num_shots = 1000\n", "state_setpoints = np.asarray([0, 1] * num_shots)\n", "\n", "# replace the get method for the gettable in case the cluster is a dummy\n", "if \"dummy\" in str(cluster._transport):\n", " from fake_data import get_fake_ssro_data\n", "\n", " ssro_gettable.get = partial(get_fake_ssro_data, num_shots=num_shots)\n", "\n", "meas_ctrl.settables(states)\n", "meas_ctrl.setpoints(state_setpoints)\n", "\n", "ssro_ds = dh.to_gridded_dataset(meas_ctrl.run(\"Single shot readout experiment\"))\n", "ssro_ds" ] }, { "cell_type": "markdown", "id": "ca4a5910", "metadata": { "lines_to_next_cell": 0 }, "source": [ "## Fit line discriminator with linear discriminant analysis (LDA)" ] }, { "cell_type": "code", "execution_count": 8, "id": "25cbfc32", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:48.784635Z", "iopub.status.busy": "2024-10-17T13:11:48.784336Z", "iopub.status.idle": "2024-10-17T13:11:49.974304Z", "shell.execute_reply": "2024-10-17T13:11:49.973478Z" }, "tags": [ "nbsphinx-thumbnail" ] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ssro_analysis = ReadoutCalibrationAnalysis(tuid=dh.get_latest_tuid())\n", "ssro_analysis.run().display_figs_mpl()" ] }, { "cell_type": "code", "execution_count": 9, "id": "e257d44f", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:49.977043Z", "iopub.status.busy": "2024-10-17T13:11:49.976868Z", "iopub.status.idle": "2024-10-17T13:11:49.980433Z", "shell.execute_reply": "2024-10-17T13:11:49.979841Z" } }, "outputs": [], "source": [ "fit_results = ssro_analysis.fit_results[\"linear_discriminator\"].params\n", "acq_threshold = fit_results[\"acq_threshold\"].value\n", "acq_rotation = (np.rad2deg(fit_results[\"acq_rotation_rad\"].value)) % 360\n", "\n", "qubit.measure.acq_threshold(acq_threshold)\n", "qubit.measure.acq_rotation(acq_rotation)" ] }, { "cell_type": "markdown", "id": "8c2b7d66", "metadata": {}, "source": [ "## SSRO with thresholded acquisition" ] }, { "cell_type": "code", "execution_count": 10, "id": "08cfa53d", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:49.982269Z", "iopub.status.busy": "2024-10-17T13:11:49.982102Z", "iopub.status.idle": "2024-10-17T13:11:49.986004Z", "shell.execute_reply": "2024-10-17T13:11:49.985342Z" }, "lines_to_next_cell": 0 }, "outputs": [], "source": [ "disc_ssro_gettable_kwargs = dict(\n", " qubit=qubit.name, prepared_states=states, acq_protocol=\"ThresholdedAcquisition\"\n", ")\n", "\n", "# set gettable\n", "disc_ssro_gettable = ScheduleGettable(\n", " quantum_device,\n", " schedule_function=readout_calibration_sched,\n", " schedule_kwargs=disc_ssro_gettable_kwargs,\n", " real_imag=True,\n", " batched=True,\n", ")\n", "\n", "# set measurement control\n", "meas_ctrl.gettables(disc_ssro_gettable)" ] }, { "cell_type": "code", "execution_count": 11, "id": "5387e918", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:49.988286Z", "iopub.status.busy": "2024-10-17T13:11:49.988119Z", "iopub.status.idle": "2024-10-17T13:11:50.092545Z", "shell.execute_reply": "2024-10-17T13:11:50.091795Z" } }, "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 states \n", "Batch size limit: 400\n", "\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "4c856b4ac1d34b289d37881366dd98f3", "version_major": 2, "version_minor": 0 }, "text/plain": [ "Completed: 0%| [ elapsed time: 00:00 | time left: ? ] it" ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "
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       "Data variables:\n",
       "    y0       (x0) float64 160kB 1.0 1.0 0.0 1.0 0.0 1.0 ... 1.0 0.0 1.0 0.0 1.0\n",
       "    y1       (x0) float64 160kB nan nan nan nan nan nan ... nan nan nan nan nan\n",
       "Attributes:\n",
       "    tuid:                             20241017-131149-991-725d30\n",
       "    name:                             Discriminated single shot readout exper...\n",
       "    grid_2d:                          False\n",
       "    grid_2d_uniformly_spaced:         False\n",
       "    1d_2_settables_uniformly_spaced:  False
" ], "text/plain": [ " Size: 480kB\n", "Dimensions: (x0: 20000)\n", "Coordinates:\n", " * x0 (x0) int64 160kB 0 1 0 1 0 1 0 1 0 1 0 1 ... 1 0 1 0 1 0 1 0 1 0 1\n", "Data variables:\n", " y0 (x0) float64 160kB 1.0 1.0 0.0 1.0 0.0 1.0 ... 1.0 0.0 1.0 0.0 1.0\n", " y1 (x0) float64 160kB nan nan nan nan nan nan ... nan nan nan nan nan\n", "Attributes:\n", " tuid: 20241017-131149-991-725d30\n", " name: Discriminated single shot readout exper...\n", " grid_2d: False\n", " grid_2d_uniformly_spaced: False\n", " 1d_2_settables_uniformly_spaced: False" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "num_shots = 10_000\n", "state_setpoints = np.asarray([0, 1] * num_shots)\n", "\n", "# replace the get method for the gettable in case the cluster is a dummy\n", "if \"dummy\" in str(cluster._transport):\n", " from fake_data import get_fake_binary_ssro_data\n", "\n", " disc_ssro_gettable.get = partial(get_fake_binary_ssro_data, num_shots=num_shots)\n", "\n", "meas_ctrl.settables(states)\n", "meas_ctrl.setpoints(state_setpoints)\n", "\n", "disc_ssro_ds = dh.to_gridded_dataset(meas_ctrl.run(\"Discriminated single shot readout experiment\"))\n", "disc_ssro_ds" ] }, { "cell_type": "code", "execution_count": 12, "id": "a01c3930", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:50.095185Z", "iopub.status.busy": "2024-10-17T13:11:50.095006Z", "iopub.status.idle": "2024-10-17T13:11:50.317657Z", "shell.execute_reply": "2024-10-17T13:11:50.316912Z" } }, "outputs": [ { "data": { "text/plain": [ "Text(0, 0.5, 'Prepared State')" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ConfusionMatrixDisplay.from_predictions(disc_ssro_ds.x0.data, disc_ssro_ds.y0.data)\n", "plt.title(\"Confusion Matrix\")\n", "plt.xlabel(\"Measured State\")\n", "plt.ylabel(\"Prepared State\")" ] }, { "cell_type": "code", "execution_count": 13, "id": "90b53d74", "metadata": { "execution": { "iopub.execute_input": "2024-10-17T13:11:50.320180Z", "iopub.status.busy": "2024-10-17T13:11:50.320000Z", "iopub.status.idle": "2024-10-17T13:11:50.355060Z", "shell.execute_reply": "2024-10-17T13:11:50.354326Z" } }, "outputs": [ { "data": { "text/html": [ "
{\n",
       "    'config_type': 'quantify_scheduler.backends.qblox_backend.QbloxHardwareCompilationConfig',\n",
       "    'hardware_description': {\n",
       "        'cluster0': {\n",
       "            'instrument_type': 'Cluster',\n",
       "            'modules': {\n",
       "                '6': {'instrument_type': 'QCM_RF'},\n",
       "                '2': {'instrument_type': 'QCM'},\n",
       "                '8': {'instrument_type': 'QRM_RF'}\n",
       "            },\n",
       "            'sequence_to_file': False,\n",
       "            'ref': 'internal'\n",
       "        }\n",
       "    },\n",
       "    'hardware_options': {\n",
       "        'output_att': {'q0:mw-q0.01': 10, 'q1:mw-q1.01': 10, 'q0:res-q0.ro': 60, 'q1:res-q1.ro': 60},\n",
       "        'mixer_corrections': {\n",
       "            'q0:mw-q0.01': {\n",
       "                'auto_lo_cal': 'on_lo_interm_freq_change',\n",
       "                'auto_sideband_cal': 'on_interm_freq_change',\n",
       "                'dc_offset_i': None,\n",
       "                'dc_offset_q': None,\n",
       "                'amp_ratio': 1.0,\n",
       "                'phase_error': 0.0\n",
       "            },\n",
       "            'q1:mw-q1.01': {\n",
       "                'auto_lo_cal': 'on_lo_interm_freq_change',\n",
       "                'auto_sideband_cal': 'on_interm_freq_change',\n",
       "                'dc_offset_i': None,\n",
       "                'dc_offset_q': None,\n",
       "                'amp_ratio': 1.0,\n",
       "                'phase_error': 0.0\n",
       "            },\n",
       "            'q0:res-q0.ro': {\n",
       "                'auto_lo_cal': 'on_lo_interm_freq_change',\n",
       "                'auto_sideband_cal': 'on_interm_freq_change',\n",
       "                'dc_offset_i': None,\n",
       "                'dc_offset_q': None,\n",
       "                'amp_ratio': 1.0,\n",
       "                'phase_error': 0.0\n",
       "            },\n",
       "            'q1:res-q1.ro': {\n",
       "                'auto_lo_cal': 'on_lo_interm_freq_change',\n",
       "                'auto_sideband_cal': 'on_interm_freq_change',\n",
       "                'dc_offset_i': None,\n",
       "                'dc_offset_q': None,\n",
       "                'amp_ratio': 1.0,\n",
       "                'phase_error': 0.0\n",
       "            }\n",
       "        },\n",
       "        'modulation_frequencies': {\n",
       "            'q0:mw-q0.01': {'interm_freq': 80000000.0},\n",
       "            'q1:mw-q1.01': {'interm_freq': 80000000.0},\n",
       "            'q0:res-q0.ro': {'lo_freq': 7500000000.0},\n",
       "            'q1:res-q1.ro': {'lo_freq': 7500000000.0}\n",
       "        }\n",
       "    },\n",
       "    'connectivity': {\n",
       "        'graph': [\n",
       "            ['cluster0.module6.complex_output_0', 'q0:mw'],\n",
       "            ['cluster0.module6.complex_output_1', 'q1:mw'],\n",
       "            ['cluster0.module2.real_output_0', 'q0:fl'],\n",
       "            ['cluster0.module2.real_output_1', 'q1:fl'],\n",
       "            ['cluster0.module8.complex_output_0', 'q0:res'],\n",
       "            ['cluster0.module8.complex_output_0', 'q1:res']\n",
       "        ]\n",
       "    }\n",
       "}\n",
       "
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