{
"cells": [
{
"cell_type": "markdown",
"id": "1ca64a62",
"metadata": {
"lines_to_next_cell": 0,
"tags": []
},
"source": [
"Scope acquisition\n",
"=================\n",
"\n",
"\n",
"The QRM/QRM-RF instruments have high speed analog to digital capability for performing measurements.\n",
"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/QRM-RF. We will also have a look at how to average multiple scope acquisitions in hardware (see section [Acquisition](https://docs.qblox.com/en/main/cluster/q1_sequence_processor.html#acquisitions))."
]
},
{
"cell_type": "markdown",
"id": "b4a43ff3",
"metadata": {
"tags": [
"intro"
]
},
"source": [
"We will show this by using a QRM-RF and directly connecting output $\\text{O}^{1}$ to input $\\text{I}^{1}$. We will then use the QRM-RF'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."
]
},
{
"cell_type": "markdown",
"id": "adead9df",
"metadata": {},
"source": [
"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://docs.qblox.com/en/main/cluster/q1_sequence_processor.html)."
]
},
{
"cell_type": "markdown",
"id": "15ce9b14",
"metadata": {
"tags": []
},
"source": [
"Setup\n",
"-----\n",
"\n",
"First, we are going to import the required packages."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "12bd053c",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:53.847590Z",
"iopub.status.busy": "2024-11-13T02:39:53.847392Z",
"iopub.status.idle": "2024-11-13T02:39:54.694168Z",
"shell.execute_reply": "2024-11-13T02:39:54.693331Z"
},
"tags": [
"imports"
]
},
"outputs": [],
"source": [
"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 Module"
]
},
{
"cell_type": "markdown",
"id": "d372cf12",
"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://docs.qblox.com/en/main/api_reference/tools.html#api-pnp) for more info)."
]
},
{
"cell_type": "markdown",
"id": "a19e2717",
"metadata": {},
"source": [
"`!qblox-pnp list`"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "46fab8e7",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:54.696726Z",
"iopub.status.busy": "2024-11-13T02:39:54.696548Z",
"iopub.status.idle": "2024-11-13T02:39:54.699665Z",
"shell.execute_reply": "2024-11-13T02:39:54.699103Z"
}
},
"outputs": [],
"source": [
"cluster_ip = \"10.10.200.42\"\n",
"cluster_name = \"cluster0\""
]
},
{
"cell_type": "markdown",
"id": "aab87ed9",
"metadata": {},
"source": [
"### Connect to Cluster\n",
"\n",
"We now make a connection with the Cluster."
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "089aa47d",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:54.701666Z",
"iopub.status.busy": "2024-11-13T02:39:54.701507Z",
"iopub.status.idle": "2024-11-13T02:39:55.488382Z",
"shell.execute_reply": "2024-11-13T02:39:55.487533Z"
},
"lines_to_next_cell": 2
},
"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": "beb0f679",
"metadata": {
"lines_to_next_cell": 2
},
"source": [
"#### Get connected modules"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "d8c29d7e",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:55.490686Z",
"iopub.status.busy": "2024-11-13T02:39:55.490485Z",
"iopub.status.idle": "2024-11-13T02:39:55.494546Z",
"shell.execute_reply": "2024-11-13T02:39:55.493830Z"
}
},
"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": "221b3623",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:55.496394Z",
"iopub.status.busy": "2024-11-13T02:39:55.496211Z",
"iopub.status.idle": "2024-11-13T02:39:55.519496Z",
"shell.execute_reply": "2024-11-13T02:39:55.518816Z"
},
"tags": [
"module_select"
]
},
"outputs": [],
"source": [
"# QRM-RF modules\n",
"modules = get_connected_modules(cluster, lambda mod: mod.is_qrm_type and mod.is_rf_type)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "9796a1e3",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:55.521243Z",
"iopub.status.busy": "2024-11-13T02:39:55.521073Z",
"iopub.status.idle": "2024-11-13T02:39:55.523787Z",
"shell.execute_reply": "2024-11-13T02:39:55.523214Z"
}
},
"outputs": [],
"source": [
"# This uses the module of the correct type with the lowest slot index\n",
"module = list(modules.values())[0]"
]
},
{
"cell_type": "markdown",
"id": "dccc52f9",
"metadata": {},
"source": [
"### Reset the Cluster\n",
"\n",
"We reset the Cluster to enter a well-defined state. Note that resetting will clear all stored parameters, so resetting between experiments is usually not desirable."
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "b4c23b0f",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:55.525597Z",
"iopub.status.busy": "2024-11-13T02:39:55.525441Z",
"iopub.status.idle": "2024-11-13T02:39:58.003530Z",
"shell.execute_reply": "2024-11-13T02:39:58.002821Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Status: OKAY, Flags: NONE, Slot flags: NONE\n"
]
}
],
"source": [
"cluster.reset()\n",
"print(cluster.get_system_status())"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "f69430c0",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:58.005497Z",
"iopub.status.busy": "2024-11-13T02:39:58.005316Z",
"iopub.status.idle": "2024-11-13T02:39:58.008419Z",
"shell.execute_reply": "2024-11-13T02:39:58.007759Z"
}
},
"outputs": [],
"source": [
"readout_module = module"
]
},
{
"cell_type": "markdown",
"id": "48d19314",
"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": 9,
"id": "0dd040e6",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:58.010424Z",
"iopub.status.busy": "2024-11-13T02:39:58.010235Z",
"iopub.status.idle": "2024-11-13T02:39:58.014964Z",
"shell.execute_reply": "2024-11-13T02:39:58.013994Z"
}
},
"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": "2147d4aa",
"metadata": {},
"source": [
"Let's plot the waveforms to see what we have created."
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "e010c851",
"metadata": {
"execution": {
"iopub.execute_input": "2024-11-13T02:39:58.017139Z",
"iopub.status.busy": "2024-11-13T02:39:58.016946Z",
"iopub.status.idle": "2024-11-13T02:39:58.222208Z",
"shell.execute_reply": "2024-11-13T02:39:58.221577Z"
}
},
"outputs": [
{
"data": {
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",
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