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"(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": "625c635d",
"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": "1ee20e11",
"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": "ddb4c131",
"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": "0240298e",
"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": "2383261e",
"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": "96cccc17",
"metadata": {},
"source": [
"`quantify-scheduler` provides several visualization tools to show a visual representation of the schedule we made. First, however, we need to instruct the scheduler to calculate the pulse timings. We can accomplish this using the {func}`~quantify_scheduler.compilation.determine_absolute_timing` function. In the cell below we call this function and draw the schedule.\n",
"\n",
"Note that these plots are interactive and modulation is not shown by default."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "c71e07aa",
"metadata": {},
"outputs": [
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"## Explicit timing control\n",
"\n",
"What we see in the pulse diagram is only a flat line, corresponding to our single square pulse. To make our schedule more interesting, we should add more pulses to it. We will add another square pulse, but with a 500 ns delay."
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"sched.add(\n",
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"We can see that {code}`rel_time=500e-9` schedules the pulse 500 ns shifted relative to the end of the {code}`ref_op`. If no additional arguments are passed, operations are added directly after the operation that was added last.\n",
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"Let's now instead align a pulse to start at the same time as the first square pulse. Before, we specified the timing relative to the end of a different pulse, but we can choose to instead specify it relative to the beginning. This is done by passing {code}`ref_pt=\"start\"`."
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"sched.add(\n",
" pulse_library.DRAGPulse(\n",
" G_amp=0.5, D_amp=0.5, duration=1e-6, phase=0, port=\"q0:mw\", clock=\"q0.01\"\n",
" ),\n",
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"source": [
"We see that we added a DRAG pulse to the schedule. Two things stand out:\n",
"\n",
"1. The DRAG pulse is plotted separately from the square pulse, this is because we specified a different {code}`port` for this pulse than we did for the square pulse.\n",
"2. The DRAG pulse shows two lines instead of one. This is because a DRAG pulse is specified as a complex-valued pulse, so we have to plot both the I and Q components of the signal. The real part of the waveform is shown in color, whereas the imaginary component is shown in grayscale.\n",
"\n",
"## Parameterized schedules\n",
"\n",
"In an experiment, often the need arises to vary one of the parameters of a schedule programmatically. Currently, the canonical way of achieving this is by defining a function that returns a generated schedule. We will use this to generate a pulse train, where we can specify the timing parameters separately."
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"source": [
"from quantify_scheduler.resources import BasebandClockResource\n",
"\n",
"\n",
"def pulse_train_schedule(\n",
" amp: float, time_high: float, time_low: float, amount_of_pulses: int\n",
") -> Schedule:\n",
" sched = Schedule(\"Pulse train schedule\")\n",
" square_pulse = sched.add(\n",
" pulse_library.SquarePulse(\n",
" amp=amp,\n",
" duration=time_high,\n",
" port=\"q0:fl\",\n",
" clock=BasebandClockResource.IDENTITY,\n",
" ),\n",
" )\n",
" for _ in range(amount_of_pulses - 1):\n",
" square_pulse = sched.add(\n",
" pulse_library.SquarePulse(\n",
" amp=amp,\n",
" duration=time_high,\n",
" port=\"q0:fl\",\n",
" clock=BasebandClockResource.IDENTITY,\n",
" ),\n",
" rel_time=time_low,\n",
" ref_op=square_pulse,\n",
" )\n",
" return sched\n",
"\n",
"\n",
"sched = pulse_train_schedule(1, 200e-9, 300e-9, 5)\n",
"compilation.determine_absolute_timing(sched)\n",
"sched.plot_pulse_diagram(plot_backend='plotly')\n",
"\n"
]
},
{
"cell_type": "markdown",
"id": "db232763",
"metadata": {},
"source": [
"Note that we used the {class}`~quantify_scheduler.resources.BasebandClockResource` as a clock, which is always at 0 Hz and was added automatically to the schedule for convenience. We can see that the pulses start every 500 ns and are 200 ns long."
]
}
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