{ "cells": [ { "cell_type": "markdown", "id": "95d8df0a", "metadata": {}, "source": [ "(sec-tutorial-sched-pulse)=\n", "\n", "# Tutorial: Schedules and Pulses\n", "\n", "```{seealso}\n", "The complete source code of this tutorial can be found in\n", "\n", "{nb-download}`Schedules and Pulses.ipynb`\n", "```\n", "\n", "## The Schedule\n", "\n", "The main data structure that describes an experiment in the `quantify-scheduler` is the Schedule. We will show how the Schedule works through an example." ] }, { "cell_type": "code", "execution_count": 1, "id": "c8908fc2", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Schedule \"Hello quantum world!\" containing (0) 0 (unique) operations." ] }, "execution_count": 1, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quantify_scheduler import Schedule\n", "\n", "sched = Schedule(\"Hello quantum world!\")\n", "\n", "sched\n", "\n" ] }, { "cell_type": "markdown", "id": "90e10206", "metadata": {}, "source": [ "As we can see, our newly created schedule is still empty. We need to manually add operations to it. In `quantify-scheduler` there are three types of operations: pulses, acquisitions and gates. All of these have explicit timing control. In this tutorial, we will only cover pulses. The goal will not be to make a schedule that is physically meaningful, but to demonstrate the control over the scheduling to its fullest.\n", "\n", "While it is possible to define a pulse completely from scratch, we will be using some of the pulse definitions provided with the `quantify-scheduler`. These pulses are described in the {mod}`quantify_scheduler.operations.pulse_library` submodule. It's worth noting that no sampling of the data yet occurs at this stage, but the pulse is kept in a parameterized form.\n", "\n", "We will add a square pulse from the pulse library to the schedule." ] }, { "cell_type": "code", "execution_count": 2, "id": "5259bbc8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Schedule \"Hello quantum world!\" containing (1) 1 (unique) operations." ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quantify_scheduler.operations import pulse_library\n", "\n", "square_pulse = sched.add(\n", " pulse_library.SquarePulse(amp=1, duration=1e-6, port=\"q0:res\", clock=\"q0.ro\")\n", ")\n", "\n", "sched\n", "\n" ] }, { "cell_type": "markdown", "id": "7e15e4a4", "metadata": {}, "source": [ "You may have noticed that we passed a {code}`port` and a {code}`clock` to the pulse. The {code}`port` specifies the physical location on the quantum chip to which we are sending the pulses, whilst the {code}`clock` tracks the frequency of the signal (see {ref}`sec-user-guide-ports-clocks`). This clock frequency has not yet been defined, so prior to any compilation step this clock needs to be added to the schedule as a resource." ] }, { "cell_type": "code", "execution_count": 3, "id": "7cc3dc76", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Schedule \"Hello quantum world!\" containing (1) 1 (unique) operations." ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from quantify_scheduler.resources import ClockResource\n", "\n", "readout_clock = ClockResource(name=\"q0.ro\", freq=7e9)\n", "sched.add_resource(readout_clock)\n", "\n", "sched\n", "\n" ] }, { "cell_type": "markdown", "id": "c9279c7a", "metadata": {}, "source": [ "We now perform the compilation of the schedule onto the {ref}`sec-user-guide-quantum-device`. This step is necessary to, among other things, determine the absolute timing of the pulses. The compilation step is described in more detail in {ref}`sec-compilation`." ] }, { "cell_type": "code", "execution_count": 4, "id": "76586448", "metadata": {}, "outputs": [], "source": [ "from quantify_scheduler.backends.graph_compilation import SerialCompiler\n", "from quantify_scheduler.device_under_test.quantum_device import QuantumDevice\n", "\n", "quantum_device = QuantumDevice(\"quantum_device\")\n", "device_compiler = SerialCompiler(\"Device compiler\", quantum_device)\n", "\n", "comp_sched = device_compiler.compile(sched)\n" ] }, { "cell_type": "markdown", "id": "b62e9c86", "metadata": {}, "source": [ "`quantify-scheduler` provides several visualization tools to show a visual representation of the schedule we made. In the cell below, we draw the schedule using a {meth}`pulse diagram <.plot_pulse_diagram>`.\n", "\n", "Note that these plots are interactive and modulation is not shown by default." ] }, { "cell_type": "code", "execution_count": 5, "id": "283462fc", "metadata": {}, "outputs": [ { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "fill": "tozeroy", "hoverinfo": "x+y+name", "hoverlabel": { "namelength": -1 }, "legendgroup": "0", "line": { "color": "#636EFA" }, "mode": "lines", "name": "SquarePulse, clock q0.ro", "showlegend": true, "type": "scatter", "x": [ -1.0000000000000001e-11, 0.0, 1e-09, 2e-09, 3.0000000000000004e-09, 4e-09, 5e-09, 6.000000000000001e-09, 7.000000000000001e-09, 8e-09, 9.000000000000001e-09, 1e-08, 1.1000000000000001e-08, 1.2000000000000002e-08, 1.3e-08, 1.4000000000000001e-08, 1.5000000000000002e-08, 1.6e-08, 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