{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "d07aec59", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:51.024041Z", "iopub.status.busy": "2024-10-11T06:15:51.023722Z", "iopub.status.idle": "2024-10-11T06:15:51.029254Z", "shell.execute_reply": "2024-10-11T06:15:51.028475Z" }, "nbsphinx": "hidden" }, "outputs": [], "source": [ "# Copyright 2024 Keysight Technologies Inc." ] }, { "cell_type": "code", "execution_count": 2, "id": "7021afec", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:51.032513Z", "iopub.status.busy": "2024-10-11T06:15:51.032021Z", "iopub.status.idle": "2024-10-11T06:15:54.106382Z", "shell.execute_reply": "2024-10-11T06:15:54.105532Z" }, "lines_to_next_cell": 2 }, "outputs": [], "source": [ "import keysight.qcs as qcs\n", "\n", "# set the following to True when connected to hardware:\n", "run_on_hw = False" ] }, { "cell_type": "raw", "id": "fc2d78d6", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Multiplexing RF waveforms\n", "=========================\n", "\n", "This tutorial demonstrates how multiple virtual channels can be mapped to a single\n", "physical channel to enable control of e.g. multiple qudits through a single device\n", "channel.\n", "\n", "We begin by defining our virtual channels:" ] }, { "cell_type": "code", "execution_count": 3, "id": "7f2aa7d6", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:54.110235Z", "iopub.status.busy": "2024-10-11T06:15:54.109783Z", "iopub.status.idle": "2024-10-11T06:15:54.117659Z", "shell.execute_reply": "2024-10-11T06:15:54.116961Z" } }, "outputs": [], "source": [ "num_channels = 3\n", "\n", "# we will map three virtual channels to one physical channel\n", "virtual_awgs = qcs.Channels(range(num_channels), \"awgs\")\n", "virtual_digs = qcs.Channels(range(num_channels), \"digs\")\n", "\n", "# specify our physical channel addresses for AWG, digitizer & downconverter\n", "physical_awg = (1, 1, 1)\n", "physical_dig = (1, 2, 1)\n", "physical_dnc = (1, 3, 1)" ] }, { "cell_type": "raw", "id": "e6f3e4b1", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Next up, we define our channel mapper and assign all virtual channels to a single\n", "physical channel:" ] }, { "cell_type": "code", "execution_count": 4, "id": "5e8133cb", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:54.120777Z", "iopub.status.busy": "2024-10-11T06:15:54.120482Z", "iopub.status.idle": "2024-10-11T06:15:54.213975Z", "shell.execute_reply": "2024-10-11T06:15:54.208548Z" } }, "outputs": [], "source": [ "lo_frequency = 5e9\n", "\n", "mapper = qcs.ChannelMapper()\n", "\n", "mapper.add_channel_mapping(\n", " virtual_awgs, [physical_awg] * num_channels, qcs.InstrumentEnum.M5300AWG\n", ")\n", "mapper.add_channel_mapping(\n", " virtual_digs, [physical_dig] * num_channels, qcs.InstrumentEnum.M5200Digitizer\n", ")\n", "mapper.add_downconverters(physical_dig, physical_dnc)\n", "mapper.set_lo_frequencies([physical_awg, physical_dnc], lo_frequency)" ] }, { "cell_type": "raw", "id": "5d031232", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "We create a program with a set of three readout pulses followed by an acquisition:" ] }, { "cell_type": "code", "execution_count": 5, "id": "99f31873", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:54.219102Z", "iopub.status.busy": "2024-10-11T06:15:54.218031Z", "iopub.status.idle": "2024-10-11T06:15:54.367405Z", "shell.execute_reply": "2024-10-11T06:15:54.366394Z" } }, "outputs": [ { "data": { "text/html": [ "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
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\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "text/plain": [ "" ] }, "metadata": { "text/html": { "isolated": true } }, "output_type": "display_data" } ], "source": [ "program = qcs.Program()\n", "\n", "# instantiate the RF waveforms\n", "waveform_1 = qcs.RFWaveform(80e-9, qcs.GaussianEnvelope(), 0.25, 5.1e9)\n", "waveform_2 = qcs.RFWaveform(80e-9, qcs.GaussianEnvelope(), 0.25, 5.2e9)\n", "waveform_3 = qcs.RFWaveform(80e-9, qcs.GaussianEnvelope(), 0.25, 5.3e9)\n", "\n", "# add them to the program\n", "program.add_waveform(waveform_1, virtual_awgs[0])\n", "program.add_waveform(waveform_2, virtual_awgs[1])\n", "program.add_waveform(waveform_3, virtual_awgs[2])\n", "\n", "# add acquisitions\n", "program.add_acquisition(qcs.IntegrationFilter(waveform_1), virtual_digs[0])\n", "program.add_acquisition(qcs.IntegrationFilter(waveform_2), virtual_digs[1])\n", "program.add_acquisition(qcs.IntegrationFilter(waveform_3), virtual_digs[2])\n", "\n", "program.draw()" ] }, { "cell_type": "raw", "id": "584f4eed", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "Rendering the program will display the three different waveforms on each virtual\n", "channel:" ] }, { "cell_type": "code", "execution_count": 7, "id": "662d2064", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:54.420760Z", "iopub.status.busy": "2024-10-11T06:15:54.419629Z", "iopub.status.idle": "2024-10-11T06:15:55.225332Z", "shell.execute_reply": "2024-10-11T06:15:55.224621Z" } }, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "dx": 4.166666666666667e-10, "legendgroup": "Address: 1x1x1x1", "legendgrouptitle": { "text": "Address: 1x1x1x1" }, "name": "Drive pulse for Address: 1x1x1x1", "type": "scatter", "x0": 0, "xaxis": "x", "y": [ 0.002367175887303883, 0.005040812902348414, 0.0028366105092354297, 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "program.render(channel_subplots=False, mapper=mapper)" ] }, { "cell_type": "raw", "id": "693d73c7", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "We can run this program on hardware and acquire the resulting trace by again\n", "connecting our AWG output to our downconverter and digitizer." ] }, { "cell_type": "code", "execution_count": 8, "id": "2328653c", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:55.260586Z", "iopub.status.busy": "2024-10-11T06:15:55.260147Z", "iopub.status.idle": "2024-10-11T06:15:55.424039Z", "shell.execute_reply": "2024-10-11T06:15:55.423090Z" }, "lines_to_next_cell": 2 }, "outputs": [], "source": [ "if run_on_hw:\n", " # initialize the backend pass\n", " backend = qcs.HclBackend(channel_mapper=mapper)\n", " # the executor returns the program populated with results\n", " program = qcs.Executor(backend).execute(program)\n", " # (optional) export the data to an HDF5 file\n", " program.to_hdf5(\"multiplexed_program.hdf5\")\n", "\n", "# we are loading a previously run program here for this example\n", "program = qcs.load(\"multiplexed_program.hdf5\")" ] }, { "cell_type": "raw", "id": "000a4079", "metadata": { "raw_mimetype": "text/restructuredtext" }, "source": [ "The acquired trace is a superposition of the three waveforms on each virtual channel." ] }, { "cell_type": "code", "execution_count": 9, "id": "917f7b6b", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:55.427883Z", "iopub.status.busy": "2024-10-11T06:15:55.427532Z", "iopub.status.idle": "2024-10-11T06:15:55.571414Z", "shell.execute_reply": "2024-10-11T06:15:55.570671Z" } }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "dx": 2.0833333333333334e-10, "legendgroup": "digitizer, labels: (0,)", "legendgrouptitle": { "text": "digitizer, labels: (0,)" }, "name": "Re(V) for 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Note that since our LO\n", "frequency was set to 5 GHz, and our waveform frequencies are at 5.1 GHz, 5.2 GHz and\n", "5.3 GHz respectively, we expect to measure the frequencies 100 MHz, 200 MHz and 300\n", "MHz." ] }, { "cell_type": "code", "execution_count": 10, "id": "fed166f7", "metadata": { "execution": { "iopub.execute_input": "2024-10-11T06:15:55.580060Z", "iopub.status.busy": "2024-10-11T06:15:55.579700Z", "iopub.status.idle": "2024-10-11T06:15:55.693138Z", "shell.execute_reply": "2024-10-11T06:15:55.692338Z" }, "lines_to_next_cell": 2 }, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "legendgroup": "digitizer, labels: (0,)", "legendgrouptitle": { "text": "digitizer, labels: (0,)" }, "name": "S(Re(V))^2 for (Channels(labels=[0], name=digitizer, absolute_phase=False),)", "type": "scatter", "x": [ 0.0, 2500000.0, 5000000.0, 7500000.0, 10000000.0, 12500000.0, 15000000.0, 17500000.0, 20000000.0, 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