{ "cells": [ { "cell_type": "markdown", "id": "375bb6c9", "metadata": { "tags": [] }, "source": [ "Scope acquisition\n", "=================\n", "\n", ".. Note::\n", " A version of this tutorial suitable for RF modules can be found [here](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/tutorials/q1asm_tutorials/basic/rf/scope_acquisition.html).\n", "\n", "The QRM/QRM-RF instruments have high speed analog to digital capability for performing measurements. In this tutorial we will demonstrate the sequencer based scope acquisition procedure allowing you to inspect and process the raw input\n", "of the QRM. We will also have a look at how to average multiple scope acquisitions in hardware (see section [Acquisition](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html#acquisitions)). We will show this by using a QRM and directly connecting outputs\n", "$\\text{O}^{[1-2]}$ to inputs $\\text{I}^{[1-2]}$ respectively. We will then use the QRM's sequencers to sequence waveforms on\n", "the outputs and simultaneously acquire the resulting waveforms on the inputs. As this tutorial uses waveform generation and acquisition, it will cover usage of `waveforms` and `acquisitions` in the sequence.\n", "\n", "As with all operations with QxM instruments, the devices will be controlled by preparing and uploading sequences onto the Q1 processors.\n", "For more info on the features, programming and operation of Q1 sequence processor please view [Q1 Sequencer](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html)." ] }, { "cell_type": "markdown", "id": "f38e7b40", "metadata": { "tags": [] }, "source": [ "Setup\n", "-----\n", "\n", "First, we are going to import the required packages." ] }, { "cell_type": "code", "execution_count": 1, "id": "26c130e5", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:32:53.386396Z", "iopub.status.busy": "2024-03-28T14:32:53.385369Z", "iopub.status.idle": "2024-03-28T14:32:57.491812Z", "shell.execute_reply": "2024-03-28T14:32:57.490742Z" } }, "outputs": [], "source": [ "\n", "from __future__ import annotations\n", "\n", "import json\n", "import math\n", "from typing import TYPE_CHECKING, Callable\n", "\n", "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import scipy.signal\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 QcmQrm" ] }, { "cell_type": "markdown", "id": "54c267d5", "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": "code", "execution_count": 2, "id": "fb6556ec", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:32:57.495887Z", "iopub.status.busy": "2024-03-28T14:32:57.494877Z", "iopub.status.idle": "2024-03-28T14:32:59.631285Z", "shell.execute_reply": "2024-03-28T14:32:59.630029Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Devices:\n", " - 10.10.200.13 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.6.2 with name \"QSE_1\" and serial number 00015_2321_005\n", " - 10.10.200.42 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.7.0 with name \"QAE-I\" and serial number 00015_2321_004\n", " - 10.10.200.43 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.6.2 with name \"QAE-2\" and serial number 00015_2206_003\n", " - 10.10.200.50 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.7.0 with name \"cluster-mm\" and serial number 00015_2219_003\n", " - 10.10.200.53 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.7.0 with name \"cluster-mm\" and serial number 00015_2320_004\n", " - 10.10.200.70 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.6.1 with name \"cluster-mm\" and serial number 123-456-789\n", " - 10.10.200.80 via 192.168.207.146/24 (reconfiguration needed!): cluster_mm 0.6.1 with name \"cluster-mm\" and serial number not_valid\n" ] } ], "source": [ "!qblox-pnp list" ] }, { "cell_type": "code", "execution_count": 3, "id": "c368eb51", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:32:59.635849Z", "iopub.status.busy": "2024-03-28T14:32:59.634850Z", "iopub.status.idle": "2024-03-28T14:32:59.646210Z", "shell.execute_reply": "2024-03-28T14:32:59.645148Z" } }, "outputs": [], "source": [ "cluster_ip = \"10.10.200.42\"\n", "cluster_name = \"cluster0\"" ] }, { "cell_type": "markdown", "id": "b7e2bfb7", "metadata": {}, "source": [ "### Connect to Cluster\n", "\n", "We now make a connection with the Cluster." ] }, { "cell_type": "code", "execution_count": 4, "id": "db0475f0", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:32:59.650564Z", "iopub.status.busy": "2024-03-28T14:32:59.649539Z", "iopub.status.idle": "2024-03-28T14:33:00.628136Z", "shell.execute_reply": "2024-03-28T14:33:00.626846Z" }, "lines_to_next_cell": 2 }, "outputs": [], "source": [ "\n", "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": "3648bf97", "metadata": { "lines_to_next_cell": 2 }, "source": [ "#### Get connected modules" ] }, { "cell_type": "code", "execution_count": 5, "id": "27a1411c", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:00.632574Z", "iopub.status.busy": "2024-03-28T14:33:00.631555Z", "iopub.status.idle": "2024-03-28T14:33:00.643476Z", "shell.execute_reply": "2024-03-28T14:33:00.642475Z" } }, "outputs": [], "source": [ "def get_connected_modules(cluster: Cluster, filter_fn: Callable | None = None) -> dict[int, QcmQrm]:\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": 6, "id": "2199028c", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:00.648936Z", "iopub.status.busy": "2024-03-28T14:33:00.647885Z", "iopub.status.idle": "2024-03-28T14:33:00.753429Z", "shell.execute_reply": "2024-03-28T14:33:00.752403Z" } }, "outputs": [ { "data": { "text/plain": [ "{4: }" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# QRM baseband modules\n", "modules = get_connected_modules(cluster, lambda mod: mod.is_qrm_type and not mod.is_rf_type)\n", "modules" ] }, { "cell_type": "code", "execution_count": 7, "id": "1efd5e00", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:00.756829Z", "iopub.status.busy": "2024-03-28T14:33:00.756829Z", "iopub.status.idle": "2024-03-28T14:33:00.770181Z", "shell.execute_reply": "2024-03-28T14:33:00.767871Z" }, "lines_to_next_cell": 0 }, "outputs": [], "source": [ "readout_module = modules[4]" ] }, { "cell_type": "markdown", "id": "8c367083", "metadata": {}, "source": [ "Generate waveforms \n", "------------------\n", "\n", "Next, we need to create the gaussian and block waveforms for the sequence." ] }, { "cell_type": "code", "execution_count": 8, "id": "c3335dc3", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:00.773820Z", "iopub.status.busy": "2024-03-28T14:33:00.772314Z", "iopub.status.idle": "2024-03-28T14:33:00.784880Z", "shell.execute_reply": "2024-03-28T14:33:00.783369Z" } }, "outputs": [], "source": [ "# Waveform parameters\n", "waveform_length = 120 # nanoseconds\n", "\n", "# Waveform dictionary (data will hold the samples and index will be used to select the waveforms in the instrument).\n", "waveforms = {\n", " \"gaussian\": {\n", " \"data\": scipy.signal.windows.gaussian(waveform_length, std=0.12 * waveform_length).tolist(),\n", " \"index\": 0,\n", " },\n", " \"sine\": {\n", " \"data\": [math.sin((2 * math.pi / waveform_length) * i) for i in range(0, waveform_length)],\n", " \"index\": 1,\n", " },\n", "}" ] }, { "cell_type": "markdown", "id": "c734f21d", "metadata": {}, "source": [ "Let's plot the waveforms to see what we have created." ] }, { "cell_type": "code", "execution_count": 9, "id": "92a07263", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:00.788904Z", "iopub.status.busy": "2024-03-28T14:33:00.788904Z", "iopub.status.idle": "2024-03-28T14:33:01.020509Z", "shell.execute_reply": "2024-03-28T14:33:01.019489Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "time = np.arange(0, max(map(lambda d: len(d[\"data\"]), waveforms.values())), 1)\n", "fig, ax = plt.subplots(1, 1, figsize=(10, 10 / 1.61))\n", "\n", "for wf, d in waveforms.items():\n", " ax.plot(time[: len(d[\"data\"])], d[\"data\"], \".-\", linewidth=0.5, label=wf)\n", "\n", "ax.legend(loc=4)\n", "ax.grid(alpha=1 / 10)\n", "ax.set_ylabel(\"Waveform primitive amplitude\", fontsize=20)\n", "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n", "\n", "plt.draw()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "149acd0b", "metadata": {}, "source": [ "Specify acquisitions\n", "--------------------\n", "\n", "We also need to specify the acquisitions so that the instrument can allocate the required memory for it's acquisition list. In this case we will create 5 acquisition specifications that\n", "each create a single bin. However, we will not be using the bins in this tutorial." ] }, { "cell_type": "code", "execution_count": 10, "id": "8827005d", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.025509Z", "iopub.status.busy": "2024-03-28T14:33:01.025509Z", "iopub.status.idle": "2024-03-28T14:33:01.036590Z", "shell.execute_reply": "2024-03-28T14:33:01.035245Z" } }, "outputs": [], "source": [ "# Acquisitions\n", "acquisitions = {\n", " \"single\": {\"num_bins\": 1, \"index\": 0},\n", " \"multiple_0\": {\"num_bins\": 1, \"index\": 1},\n", " \"multiple_1\": {\"num_bins\": 1, \"index\": 2},\n", " \"multiple_2\": {\"num_bins\": 1, \"index\": 3},\n", " \"avg\": {\"num_bins\": 1, \"index\": 4},\n", "}" ] }, { "cell_type": "markdown", "id": "5c582dea", "metadata": {}, "source": [ "Create Q1ASM program\n", "--------------------\n", "\n", "Now that we have the waveforms and acquisitions specification for the sequence, we need a simple Q1ASM program that sequences and acquires the waveforms.\n", "For a reference of available commands with Q1ASM please visit [Q1 Sequencer](https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/cluster/q1_sequence_processor.html). Note how the Q1ASM references the JSON structures stored in the JSON file" ] }, { "cell_type": "code", "execution_count": 11, "id": "f88869de", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.040791Z", "iopub.status.busy": "2024-03-28T14:33:01.039783Z", "iopub.status.idle": "2024-03-28T14:33:01.051395Z", "shell.execute_reply": "2024-03-28T14:33:01.050370Z" } }, "outputs": [], "source": [ "# Sequence program.\n", "seq_prog = \"\"\"\n", "play 0,1,4 #Play waveforms and wait 4ns. Parameters: waveform index (from dict) on path 0, waveform index (from dict) on path 1, wait (in ns)\n", "acquire 0,0,16380 #Acquire waveforms and wait remaining duration of scope acquisition. Parameters: acquisition index (from dict), data bin, Duration of acq (in ns)\n", "stop #Stop.\n", "\"\"\"" ] }, { "cell_type": "markdown", "id": "6591d03c", "metadata": {}, "source": [ "Create and Upload sequence\n", "--------------------------\n", "\n", "Now that we have the waveform and acquisition specifications and Q1ASM program, we can combine them in a sequence stored in a JSON file." ] }, { "cell_type": "code", "execution_count": 12, "id": "8c63588d", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.056053Z", "iopub.status.busy": "2024-03-28T14:33:01.055052Z", "iopub.status.idle": "2024-03-28T14:33:01.067604Z", "shell.execute_reply": "2024-03-28T14:33:01.065603Z" } }, "outputs": [], "source": [ "# Add sequence to single dictionary and write to JSON file.\n", "sequence = {\n", " \"waveforms\": waveforms,\n", " \"weights\": {},\n", " \"acquisitions\": acquisitions,\n", " \"program\": seq_prog,\n", "}\n", "with open(\"sequence.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(sequence, file, indent=4)\n", " file.close()" ] }, { "cell_type": "markdown", "id": "6aa3c9cd", "metadata": {}, "source": [ "Let's write the JSON file to the instruments. We will use sequencer 0, which will drive outputs $\\text{O}^{[1-2]}$ and acquire on inputs $\\text{I}^{[1-2]}$." ] }, { "cell_type": "code", "execution_count": 13, "id": "1b03d463", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.073133Z", "iopub.status.busy": "2024-03-28T14:33:01.072606Z", "iopub.status.idle": "2024-03-28T14:33:01.158909Z", "shell.execute_reply": "2024-03-28T14:33:01.157883Z" } }, "outputs": [], "source": [ "# Upload sequence.\n", "readout_module.sequencer0.sequence(\"sequence.json\")" ] }, { "cell_type": "markdown", "id": "4d8f80dc", "metadata": {}, "source": [ "Play sequence\n", "-------------\n", "\n", "The sequence has been uploaded to the instrument. Now we need to configure the sequencers to trigger the acquisition with the `acquire` instruction." ] }, { "cell_type": "code", "execution_count": 14, "id": "873005f6", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.163213Z", "iopub.status.busy": "2024-03-28T14:33:01.163213Z", "iopub.status.idle": "2024-03-28T14:33:01.299670Z", "shell.execute_reply": "2024-03-28T14:33:01.298501Z" } }, "outputs": [], "source": [ "# Configure the sequencer to trigger the scope acquisition.\n", "readout_module.scope_acq_sequencer_select(0)\n", "readout_module.scope_acq_trigger_mode_path0(\"sequencer\")\n", "readout_module.scope_acq_trigger_mode_path1(\"sequencer\")\n", "\n", "# Map sequencer to specific outputs (but first disable all sequencer connections)\n", "readout_module.disconnect_outputs()\n", "readout_module.disconnect_inputs()\n", "\n", "readout_module.sequencer0.connect_sequencer(\"io0_1\")" ] }, { "cell_type": "markdown", "id": "e5873f08", "metadata": {}, "source": [ "Now let's start the sequence." ] }, { "cell_type": "code", "execution_count": 15, "id": "7fef7c4c", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.303784Z", "iopub.status.busy": "2024-03-28T14:33:01.302755Z", "iopub.status.idle": "2024-03-28T14:33:01.330859Z", "shell.execute_reply": "2024-03-28T14:33:01.329784Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Status:\n", "Status: STOPPED, Flags: ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_BINNING_DONE\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:2414: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " warnings.warn(\n", "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:85: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " self._deprecation_warning()\n", "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:77: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " self._deprecation_warning()\n", "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:129: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " self._deprecation_warning()\n" ] } ], "source": [ "# Arm and start sequencer.\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "# Print status of sequencer.\n", "print(\"Status:\")\n", "print(readout_module.get_sequencer_status(0))" ] }, { "cell_type": "markdown", "id": "6a871af2", "metadata": {}, "source": [ "Retrieve acquisition\n", "--------------------\n", "\n", "The waveforms have now been sequenced on the outputs and acquired on the inputs. Lets make sure that the sequencer has finished it's acquisition and then retrieve the\n", "resulting data. The acquisition data is stored in a temporary memory in the instrument's FPGA. We need to first move the data from this memory into the into the\n", "instrument's acquisition list. From there we can retrieve it from the instrument." ] }, { "cell_type": "code", "execution_count": 16, "id": "3ccd6000", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.335301Z", "iopub.status.busy": "2024-03-28T14:33:01.335301Z", "iopub.status.idle": "2024-03-28T14:33:01.392464Z", "shell.execute_reply": "2024-03-28T14:33:01.391467Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:3210: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " warnings.warn(\n" ] } ], "source": [ "# Wait for the acquisition to finish with a timeout period of one minute.\n", "readout_module.get_acquisition_status(0, 1)\n", "\n", "# Move acquisition data from temporary memory to acquisition list.\n", "readout_module.store_scope_acquisition(0, \"single\")\n", "\n", "# Get acquisition list from instrument.\n", "single_acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "fb3a0de0", "metadata": {}, "source": [ "Let's plot the result." ] }, { "cell_type": "code", "execution_count": 17, "id": "15f261aa", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.397009Z", "iopub.status.busy": "2024-03-28T14:33:01.397009Z", "iopub.status.idle": "2024-03-28T14:33:01.533088Z", "shell.execute_reply": "2024-03-28T14:33:01.532095Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot acquired signal on both inputs.\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "ax.plot(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290])\n", "ax.plot(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290])\n", "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n", "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ded722bc", "metadata": {}, "source": [ "Retrieve multiple acquisitions\n", "------------------------------\n", "\n", "We can also run the sequence multiple times consecutively and store the acquisition data in the instrument's acquisition list before retrieving them all in\n", "one go. To demonstrate this we will run the same sequence three times and vary the output gain for each run to create a clear distinction between the acquisitions." ] }, { "cell_type": "code", "execution_count": 18, "id": "14030b06", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.537096Z", "iopub.status.busy": "2024-03-28T14:33:01.536095Z", "iopub.status.idle": "2024-03-28T14:33:01.812479Z", "shell.execute_reply": "2024-03-28T14:33:01.811477Z" } }, "outputs": [], "source": [ "# First run\n", "readout_module.sequencer0.gain_awg_path0(0.33)\n", "readout_module.sequencer0.gain_awg_path1(0.33)\n", "\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "readout_module.get_acquisition_status(0, 1)\n", "\n", "readout_module.store_scope_acquisition(0, \"multiple_0\")\n", "\n", "# Second run\n", "readout_module.sequencer0.gain_awg_path0(0.66)\n", "readout_module.sequencer0.gain_awg_path1(0.66)\n", "\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "readout_module.get_acquisition_status(0, 1)\n", "\n", "readout_module.store_scope_acquisition(0, \"multiple_1\")\n", "\n", "# Third run\n", "readout_module.sequencer0.gain_awg_path0(1)\n", "readout_module.sequencer0.gain_awg_path1(1)\n", "\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "readout_module.get_acquisition_status(0, 1)\n", "\n", "readout_module.store_scope_acquisition(0, \"multiple_2\")\n", "\n", "# Get acquisition list from instrument.\n", "multiple_acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "1661edbe", "metadata": {}, "source": [ "Let's plot the result again." ] }, { "cell_type": "code", "execution_count": 19, "id": "0205c3ad", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:01.816948Z", "iopub.status.busy": "2024-03-28T14:33:01.815950Z", "iopub.status.idle": "2024-03-28T14:33:02.047720Z", "shell.execute_reply": "2024-03-28T14:33:02.046057Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot acquired signals (add acquisition index to separate acquisitions in plot).\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 1.61))\n", "for acq_idx in range(0, 3):\n", " ax.plot(\n", " np.array(\n", " multiple_acq[f\"multiple_{acq_idx}\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290]\n", " )\n", " + acq_idx\n", " )\n", " ax.plot(\n", " np.array(\n", " multiple_acq[f\"multiple_{acq_idx}\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290]\n", " )\n", " + acq_idx\n", " )\n", " ax.set_xlabel(\"Time (ns)\", fontsize=20)\n", " ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "ed00a3b5", "metadata": {}, "source": [ "### No Demodulation on Scope Acquisition\n", "\n", "The scope acquisition is carried out before the incoming signal is demodulated. As a result, the acquired signal needs to be demodulated in software in order to retrieve the original waveform for a non-zero NCO frequency." ] }, { "cell_type": "markdown", "id": "1a8abda7", "metadata": {}, "source": [ "Hardware-based averaging\n", "------------------------\n", "\n", "We can also use hardware in the instrument itself to automatically accumulate acquisition data on-the-fly. This can be used to do averaging, by dividing the final\n", "accumulated result by the number of accumulations. To use this feature, we first need to modify the Q1ASM program to run the sequence multiple consecutive times." ] }, { "cell_type": "code", "execution_count": 20, "id": "721078d4", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.051341Z", "iopub.status.busy": "2024-03-28T14:33:02.051341Z", "iopub.status.idle": "2024-03-28T14:33:02.061178Z", "shell.execute_reply": "2024-03-28T14:33:02.061178Z" } }, "outputs": [], "source": [ "# Sequence program.\n", "seq_prog = \"\"\"\n", " move 1000,R0 #Loop iterator.\n", "\n", "loop: play 0,1,4 #Play waveforms and wait 4ns.\n", " acquire 4,0,16380 #Acquire waveforms and wait remaining duration of scope acquisition.\n", " loop R0,@loop #Run until number of iterations is done.\n", "\n", " stop #Stop.\n", "\"\"\"" ] }, { "cell_type": "markdown", "id": "1bd2a2c9", "metadata": {}, "source": [ "Next, we need to program, configure and start the sequencer with the updated Q1ASM program. This time we will also configure the sequencer to run in averaging mode." ] }, { "cell_type": "code", "execution_count": 21, "id": "1fde101c", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.067216Z", "iopub.status.busy": "2024-03-28T14:33:02.066706Z", "iopub.status.idle": "2024-03-28T14:33:02.292677Z", "shell.execute_reply": "2024-03-28T14:33:02.291646Z" } }, "outputs": [], "source": [ "# Add sequence to single dictionary and write to JSON file.\n", "sequence = {\n", " \"waveforms\": waveforms,\n", " \"weights\": {},\n", " \"acquisitions\": acquisitions,\n", " \"program\": seq_prog,\n", "}\n", "with open(\"avg_sequence.json\", \"w\", encoding=\"utf-8\") as file:\n", " json.dump(sequence, file, indent=4)\n", " file.close()\n", "\n", "# Upload sequence.\n", "readout_module.sequencer0.sequence(\"avg_sequence.json\")\n", "\n", "# Enable hardware averaging\n", "readout_module.scope_acq_avg_mode_en_path0(True)\n", "readout_module.scope_acq_avg_mode_en_path1(True)\n", "\n", "# Arm and start sequencer.\n", "readout_module.arm_sequencer(0)\n", "readout_module.start_sequencer()\n", "\n", "# Wait for sequence and acquisitions to finish.\n", "readout_module.get_acquisition_status(0, 1)\n", "\n", "# Move accumulated result from temporary memory to the instrument's acquisition list.\n", "readout_module.store_scope_acquisition(0, \"avg\")\n", "\n", "# Get acquisition list from instrument.\n", "avg_acq = readout_module.get_acquisitions(0)" ] }, { "cell_type": "markdown", "id": "c1c3daaf", "metadata": {}, "source": [ "The sequence has now run and accumulated a 1000 times. Time to finish the averaging process and print the result." ] }, { "cell_type": "code", "execution_count": 22, "id": "9f7544a8", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.295733Z", "iopub.status.busy": "2024-03-28T14:33:02.295733Z", "iopub.status.idle": "2024-03-28T14:33:02.434433Z", "shell.execute_reply": "2024-03-28T14:33:02.432237Z" }, "tags": [ "nbsphinx-thumbnail" ] }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot results.\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][130:290]))\n", "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path1\"][\"data\"][130:290]))\n", "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n", "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "c2962b0b", "metadata": {}, "source": [ "Note that the accumulated acquisitions have already been averaged when the data is returned. The instrument keeps track of the number of accumulations and divides the result upon returning the data. The number of accumulations is also available for review." ] }, { "cell_type": "code", "execution_count": 23, "id": "f6705d85", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.439065Z", "iopub.status.busy": "2024-03-28T14:33:02.439065Z", "iopub.status.idle": "2024-03-28T14:33:02.449956Z", "shell.execute_reply": "2024-03-28T14:33:02.447403Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1000\n", "1000\n" ] } ], "source": [ "# Print number of averages\n", "print(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"avg_cnt\"])\n", "print(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path1\"][\"avg_cnt\"])" ] }, { "cell_type": "markdown", "id": "e97c0624", "metadata": {}, "source": [ "To show that the hardware averaging worked, let's compare and zoom in on the data from the very first acquisition in this tutorial and the very last." ] }, { "cell_type": "code", "execution_count": 24, "id": "2a65028e", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.454053Z", "iopub.status.busy": "2024-03-28T14:33:02.453029Z", "iopub.status.idle": "2024-03-28T14:33:02.606636Z", "shell.execute_reply": "2024-03-28T14:33:02.604382Z" } }, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Plot results\n", "fig, ax = plt.subplots(1, 1, figsize=(15, 15 / 2 / 1.61))\n", "ax.plot(np.array(single_acq[\"single\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][1000:2000]))\n", "ax.plot(np.array(avg_acq[\"avg\"][\"acquisition\"][\"scope\"][\"path0\"][\"data\"][1000:2000]))\n", "ax.set_xlabel(\"Time (ns)\", fontsize=20)\n", "ax.set_ylabel(\"Relative amplitude\", fontsize=20)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "befc94d9", "metadata": {}, "source": [ "Stop\n", "----\n", "\n", "Finally, let's stop the sequencers if they haven't already and close the instrument connection. One can also display a detailed snapshot containing the instrument parameters before\n", "closing the connection by uncommenting the corresponding lines." ] }, { "cell_type": "code", "execution_count": 25, "id": "f5393b3d", "metadata": { "execution": { "iopub.execute_input": "2024-03-28T14:33:02.610308Z", "iopub.status.busy": "2024-03-28T14:33:02.610308Z", "iopub.status.idle": "2024-03-28T14:33:12.720663Z", "shell.execute_reply": "2024-03-28T14:33:12.719662Z" } }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Status: STOPPED, Flags: FORCED_STOP, ACQ_SCOPE_DONE_PATH_0, ACQ_SCOPE_OVERWRITTEN_PATH_0, ACQ_SCOPE_DONE_PATH_1, ACQ_SCOPE_OVERWRITTEN_PATH_1, ACQ_BINNING_DONE\n", "\n", "Snapshot:\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "in0_gain :\t-6 (dB)\n", "in0_offset :\t0 (V)\n", "in1_gain :\t-6 (dB)\n", "in1_offset :\t0 (V)\n", "marker0_inv_en :\tFalse \n", "marker1_inv_en :\tFalse \n", "marker2_inv_en :\tFalse \n", "marker3_inv_en :\tFalse \n", "out0_offset :\t0 (V)\n", "out1_offset :\t0 (V)\n", "present :\tTrue \n", "scope_acq_avg_mode_en_path0 :\tTrue \n", "scope_acq_avg_mode_en_path1 :\tTrue \n", "scope_acq_sequencer_select :\t0 \n", "scope_acq_trigger_level_path0 :\t0 \n", "scope_acq_trigger_level_path1 :\t0 \n", "scope_acq_trigger_mode_path0 :\tsequencer \n", "scope_acq_trigger_mode_path1 :\tsequencer \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer0:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\tin0 \n", "connect_acq_Q :\tin1 \n", "connect_out0 :\tI \n", "connect_out1 :\tQ \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer1:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\toff \n", "connect_acq_Q :\toff \n", "connect_out0 :\toff \n", "connect_out1 :\toff \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer2:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\toff \n", "connect_acq_Q :\toff \n", "connect_out0 :\toff \n", "connect_out1 :\toff \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer3:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\toff \n", "connect_acq_Q :\toff \n", "connect_out0 :\toff \n", "connect_out1 :\toff \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer4:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\toff \n", "connect_acq_Q :\toff \n", "connect_out0 :\toff \n", "connect_out1 :\toff \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "cluster0_module4_sequencer5:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "connect_acq_I :\toff \n", "connect_acq_Q :\toff \n", "connect_out0 :\toff \n", "connect_out1 :\toff \n", "cont_mode_en_awg_path0 :\tFalse \n", "cont_mode_en_awg_path1 :\tFalse \n", "cont_mode_waveform_idx_awg_path0 :\t0 \n", "cont_mode_waveform_idx_awg_path1 :\t0 \n", "demod_en_acq :\tFalse \n", "gain_awg_path0 :\t1 \n", "gain_awg_path1 :\t1 \n", "integration_length_acq :\t1024 \n", "marker_ovr_en :\tFalse \n", "marker_ovr_value :\t0 \n", "mixer_corr_gain_ratio :\t1 \n", "mixer_corr_phase_offset_degree :\t-0 \n", "mod_en_awg :\tFalse \n", "nco_freq :\t0 (Hz)\n", "nco_phase_offs :\t0 (Degrees)\n", "nco_prop_delay_comp :\t0 (ns)\n", "nco_prop_delay_comp_en :\tFalse (ns)\n", "offset_awg_path0 :\t0 \n", "offset_awg_path1 :\t0 \n", "sync_en :\tFalse \n", "thresholded_acq_marker_address :\t1 \n", "thresholded_acq_marker_en :\tFalse \n", "thresholded_acq_marker_invert :\tFalse \n", "thresholded_acq_rotation :\t0 (Degrees)\n", "thresholded_acq_threshold :\t0 \n", "thresholded_acq_trigger_address :\t1 \n", "thresholded_acq_trigger_en :\tFalse \n", "thresholded_acq_trigger_invert :\tFalse \n", "trigger10_count_threshold :\t1 \n", "trigger10_threshold_invert :\tFalse \n", "trigger11_count_threshold :\t1 \n", "trigger11_threshold_invert :\tFalse \n", "trigger12_count_threshold :\t1 \n", "trigger12_threshold_invert :\tFalse \n", "trigger13_count_threshold :\t1 \n", "trigger13_threshold_invert :\tFalse \n", "trigger14_count_threshold :\t1 \n", "trigger14_threshold_invert :\tFalse \n", "trigger15_count_threshold :\t1 \n", "trigger15_threshold_invert :\tFalse \n", "trigger1_count_threshold :\t1 \n", "trigger1_threshold_invert :\tFalse \n", "trigger2_count_threshold :\t1 \n", "trigger2_threshold_invert :\tFalse \n", "trigger3_count_threshold :\t1 \n", "trigger3_threshold_invert :\tFalse \n", "trigger4_count_threshold :\t1 \n", "trigger4_threshold_invert :\tFalse \n", "trigger5_count_threshold :\t1 \n", "trigger5_threshold_invert :\tFalse \n", "trigger6_count_threshold :\t1 \n", "trigger6_threshold_invert :\tFalse \n", "trigger7_count_threshold :\t1 \n", "trigger7_threshold_invert :\tFalse \n", "trigger8_count_threshold :\t1 \n", "trigger8_threshold_invert :\tFalse \n", "trigger9_count_threshold :\t1 \n", "trigger9_threshold_invert :\tFalse \n", "ttl_acq_auto_bin_incr_en :\tFalse \n", "ttl_acq_input_select :\t0 \n", "ttl_acq_threshold :\t0 \n", "upsample_rate_awg_path0 :\t0 \n", "upsample_rate_awg_path1 :\t0 \n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "Status: OKAY, Flags: NONE, Slot flags: NONE\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "c:\\work\\code\\qblox_instruments_install\\qblox_instruments\\native\\generic_func.py:1033: FutureWarning: \n", " After June 2024, this feature is subject to removal in future releases.\n", " Transition to an alternative is advised.\n", " See https://qblox-qblox-instruments.readthedocs-hosted.com/en/main/getting_started/deprecated.html\n", " \n", " warnings.warn(\n" ] } ], "source": [ "# Stop sequencer.\n", "readout_module.stop_sequencer()\n", "\n", "# Print status of sequencer.\n", "print(readout_module.get_sequencer_status(0))\n", "print()\n", "\n", "# Print an overview of the instrument parameters.\n", "print(\"Snapshot:\")\n", "readout_module.print_readable_snapshot(update=True)\n", "\n", "# Reset the cluster\n", "cluster.reset()\n", "print(cluster.get_system_status())" ] } ], "metadata": { "jupytext": { "formats": "ipynb,py:percent" }, "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": "3.8.18" } }, "nbformat": 4, "nbformat_minor": 5 }