ScheduleBlock

class qiskit.pulse.ScheduleBlock(name=None, metadata=None, alignment_context=None)

GitHub

Bases: object

Time-ordered sequence of instructions with alignment context.

ScheduleBlock supports lazy scheduling of context instructions, i.e. their timeslots is always generated at runtime. This indicates we can parametrize instruction durations as well as other parameters. In contrast to Schedule being somewhat static, ScheduleBlock is a dynamic representation of a pulse program.

Pulse Builder

The Qiskit pulse builder is a domain specific language that is developed on top of the schedule block. Use of the builder syntax will improve the workflow of pulse programming. See Pulse Builder for a user guide.

Alignment contexts

A schedule block is always relatively scheduled. Instead of taking individual instructions with absolute execution time t0, the schedule block defines a context of scheduling and instructions under the same context are scheduled in the same manner (alignment). Several contexts are available in Alignments . A schedule block is instantiated with one of these alignment contexts. The default context is AlignLeft, for which all instructions are left-justified, in other words, meaning they use as-soon-as-possible scheduling.

If you need an absolute-time interval in between instructions, you can explicitly insert Delay instructions.

Nested blocks

A schedule block can contain other nested blocks with different alignment contexts. This enables advanced scheduling, where a subset of instructions is locally scheduled in a different manner. Note that a Schedule instance cannot be directly added to a schedule block. To add a Schedule instance, wrap it in a Call instruction. This is implicitly performed when a schedule is added through the Pulse Builder .

Unsupported operations

Because the schedule block representation lacks timeslots, it cannot perform particular Schedule operations such as insert() or shift() that require instruction start time t0 . In addition, exclude() and filter() methods are not supported because these operations may identify the target instruction with t0 . Except for these operations, ScheduleBlock provides full compatibility with Schedule .

Subroutine

The timeslots-free representation offers much greater flexibility for writing pulse programs. Because ScheduleBlock only cares about the ordering of the child blocks we can add an undefined pulse sequence as a subroutine of the main program. If your program contains the same sequence multiple times, this representation may reduce the memory footprint required by the program construction. Such a subroutine is realized by the special compiler directive Reference that is defined by a unique set of reference key strings to the subroutine. The (executable) subroutine is separately stored in the main program. Appended reference directives are resolved when the main program is executed. Subroutines must be assigned through assign_references() before execution.

One way to reference a subroutine in a schedule is to use the pulse builder’s reference() function to declare an unassigned reference. In this example, the program is called with the reference key “grand_child”. You can call a subroutine without specifying a substantial program.

from qiskit import pulse
from qiskit.circuit.parameter import Parameter
 
amp1 = Parameter("amp1")
amp2 = Parameter("amp2")
 
with pulse.build() as sched_inner:
    pulse.play(pulse.Constant(100, amp1), pulse.DriveChannel(0))
 
with pulse.build() as sched_outer:
    with pulse.align_right():
        pulse.reference("grand_child")
        pulse.play(pulse.Constant(200, amp2), pulse.DriveChannel(0))
 
# Now assign the inner pulse program to this reference
sched_outer.assign_references({("grand_child",): sched_inner})
print(sched_outer.parameters)

{Parameter(amp1), Parameter(amp2)}

The outer program now has the parameter amp2 from the inner program, indicating that the inner program’s data has been made available to the outer program. The program calling the “grand_child” has a reference program description which is accessed through ScheduleBlock.references .

print(sched_outer.references)

ReferenceManager:
  - ('grand_child',): ScheduleBlock(Play(Constant(duration=100, amp=amp1,...

Finally, you may want to call this program from another program. Here we try a different approach to define subroutine. Namely, we call a subroutine from the root program with the actual program sched2 .

amp3 = Parameter("amp3")
 
with pulse.build() as main:
    pulse.play(pulse.Constant(300, amp3), pulse.DriveChannel(0))
    pulse.call(sched_outer, name="child")
 
print(main.parameters)

{Parameter(amp1), Parameter(amp2), Parameter(amp3}

This implicitly creates a reference named “child” within the root program and assigns sched_outer to it.

Note that the root program is only aware of its direct references.

print(main.references)

ReferenceManager:
  - ('child',): ScheduleBlock(ScheduleBlock(ScheduleBlock(Play(Con...

As you can see the main program cannot directly assign a subroutine to the “grand_child” because this subroutine is not called within the root program, i.e. it is indirectly called by “child”. However, the returned ReferenceManager is a dict-like object, and you can still reach to “grand_child” via the “child” program with the following chained dict access.

main.references[("child", )].references[("grand_child", )]

Note that ScheduleBlock.parameters still collects all parameters also from the subroutine once it’s assigned.

Create an empty schedule block.

Deprecated since version 1.3

The class qiskit.pulse.schedule.ScheduleBlock is deprecated as of Qiskit 1.3. It will be removed in Qiskit 2.0. The entire Qiskit Pulse package is being deprecated and will be moved to the Qiskit Dynamics repository: https://github.com/qiskit-community/qiskit-dynamics

Parameters

name (str | None) – Name of this schedule. Defaults to an autogenerated string if not provided.
metadata (dict | None) – Arbitrary key value metadata to associate with the schedule. This gets stored as free-form data in a dict in the metadata attribute. It will not be directly used in the schedule.
alignment_context (AlignmentKind) – AlignmentKind instance that manages scheduling of instructions in this block.

Raises

TypeError - if metadata is not a dict.

Attributes

alignment_context

Return alignment instance that allocates block component to generate schedule.

blocks

Get the block elements added to self.

Note

The sequence of elements is returned in order of addition. Because the first element is schedule first, e.g. FIFO, the returned sequence is roughly time-ordered. However, in the parallel alignment context, especially in the as-late-as-possible scheduling, or AlignRight context, the actual timing of when the instructions are issued is unknown until the ScheduleBlock is scheduled and converted into a Schedule .

channels

Returns channels that this schedule block uses.

duration

Duration of this schedule block.

instances_counter

Default value: count(0)

instructions

Get the time-ordered instructions from self.

metadata

The user provided metadata associated with the schedule.

User provided dict of metadata for the schedule. The metadata contents do not affect the semantics of the program but are used to influence the execution of the schedule. It is expected to be passed between all transforms of the schedule and that providers will associate any schedule metadata with the results it returns from the execution of that schedule.

name

Return name of this schedule

parameters

Return unassigned parameters with raw names.

prefix

Default value:'block'

references

Return a reference manager of the current scope.

Methods

append

append(block, name=None, inplace=True)

GitHub

Return a new schedule block with block appended to the context block. The execution time is automatically assigned when the block is converted into schedule.

Parameters

block (BlockComponent) – ScheduleBlock to be appended.
name (str | None) – Name of the new Schedule. Defaults to name of self.
inplace (bool) – Perform operation inplace on this schedule. Otherwise, return a new Schedule.

Returns

Schedule block with appended schedule.

Raises

PulseError - When invalid schedule type is specified.

Return type

ScheduleBlock

assign_parameters

assign_parameters(value_dict, inplace=True)

GitHub

Assign the parameters in this schedule according to the input.

Parameters

value_dict (dict[ParameterExpression |ParameterVector |str, ParameterValueType | Sequence[ParameterValueType]]) – A mapping from parameters or parameter names (parameter vector
values (or parameter vector name) to either numeric) –
expression (or another parameter) –
inplace (bool) – Set True to override this instance with new parameter.

Returns

Schedule with updated parameters.

Raises

PulseError - When the block is nested into another block.

Return type

ScheduleBlock

assign_references

assign_references(subroutine_dict, inplace=True)

GitHub

Assign schedules to references.

It is only capable of assigning a schedule block to immediate references which are directly referred within the current scope. Let’s see following example:

from qiskit import pulse
 
with pulse.build() as nested_prog:
    pulse.delay(10, pulse.DriveChannel(0))
 
with pulse.build() as sub_prog:
    pulse.reference("A")
 
with pulse.build() as main_prog:
    pulse.reference("B")

In above example, the main_prog can refer to the subroutine “root::B” and the reference of “B” to program “A”, i.e., “B::A”, is not defined in the root namespace. This prevents breaking the reference “root::B::A” by the assignment of “root::B”. For example, if a user could indirectly assign “root::B::A” from the root program, one can later assign another program to “root::B” that doesn’t contain “A” within it. In this situation, a reference “root::B::A” would still live in the reference manager of the root. However, the subroutine “root::B::A” would no longer be used in the actual pulse program. To assign subroutine “A” to nested_prog as a nested subprogram of main_prog, you must first assign “A” of the sub_prog, and then assign the sub_prog to the main_prog .

sub_prog.assign_references({("A", ): nested_prog}, inplace=True)
main_prog.assign_references({("B", ): sub_prog}, inplace=True)

Alternatively, you can also write

main_prog.assign_references({("B", ): sub_prog}, inplace=True)
main_prog.references[("B", )].assign_references({("A", ): nested_prog}, inplace=True)

Here references returns a dict-like object, and you can mutably update the nested reference of the particular subroutine.

Note

Assigned programs are deep-copied to prevent an unexpected update.

Parameters

subroutine_dict (dict[str |tuple[str, ...], 'ScheduleBlock']) – A mapping from reference key to schedule block of the subroutine.
inplace (bool) – Set True to override this instance with new subroutine.

Returns

Schedule block with assigned subroutine.

Raises

PulseError - When reference key is not defined in the current scope.

Return type

ScheduleBlock

ch_duration

ch_duration(*channels)

GitHub

Return the time of the end of the last instruction over the supplied channels.

Parameters

*channels (Channel) - Channels within self to include.

Return type

int

draw

draw(style=None, backend=None, time_range=None, time_unit='dt', disable_channels=None, show_snapshot=True, show_framechange=True, show_waveform_info=True, plot_barrier=True, plotter='mpl2d', axis=None, show_barrier=True)

GitHub

Plot the schedule.

Parameters

$style (dict [str, Any] | None) - Stylesheet options. This can be dictionary or preset stylesheet classes. See IQXStandard, IQXSimple, and IQXDebugging for details of preset stylesheets.$
$backend (Optional[BaseBackend]) - Backend object to play the input pulse program. If provided, the plotter may use to make the visualization hardware aware.$
$time_range (tuple [int, int] | None) - Set horizontal axis limit. Tuple (tmin, tmax) .$
$time_unit (str) - The unit of specified time range either dt or ns . The unit of ns is available only when backend object is provided.$
$disable_channels (list [Channel] | None) - A control property to show specific pulse channel. Pulse channel instances provided as a list are not shown in the output image.$
$show_snapshot (bool) - Show snapshot instructions.$
$show_framechange (bool) - Show frame change instructions. The frame change represents instructions that modulate phase or frequency of pulse channels.$
$show_waveform_info (bool) - Show additional information about waveforms such as their name.$
$plot_barrier (bool) - Show barrier lines.$

plotter (str) -

Name of plotter API to generate an output image. One of following APIs should be specified:

mpl2d: Matplotlib API for 2D image generation.
    Matplotlib API to generate 2D image. Charts are placed along y axis with
    vertical offset. This API takes matplotlib.axes.Axes as ``axis`` input.

axis and style kwargs may depend on the plotter.

$axis (Any | None) - Arbitrary object passed to the plotter. If this object is provided, the plotters use a given axis instead of internally initializing a figure object. This object format depends on the plotter. See plotter argument for details.$
$show_barrier (bool) - DEPRECATED. Show barrier lines.$

Returns

Visualization output data. The returned data type depends on the plotter . If matplotlib family is specified, this will be a matplotlib.pyplot.Figure data.

exclude

exclude(*filter_funcs, channels=None, instruction_types=None, check_subroutine=True)

GitHub

Return a new ScheduleBlock with only the instructions from this ScheduleBlock failing at least one of the provided filters. This method is the complement of filter(), so that:

self.filter(args) + self.exclude(args) == self in terms of instructions included.

Warning

Because ScheduleBlock is not aware of the execution time of the context instructions, excluding some instructions may change the execution time of the remaining instructions.

Parameters

filter_funcs (Callable[..., bool]) – A list of Callables which take a Instruction and return a bool.
channels (Iterable[Channel] | None) – For example, [DriveChannel(0), AcquireChannel(0)].
instruction_types (Iterable[abc.ABCMeta] | abc.ABCMeta) – For example, [PulseInstruction, AcquireInstruction].
check_subroutine (bool) – Set True to individually filter instructions inside of a subroutine defined by the Call instruction.

Returns

ScheduleBlock consisting of instructions that do not match with at least one of filtering conditions.

filter

filter(*filter_funcs, channels=None, instruction_types=None, check_subroutine=True)

GitHub

Return a new ScheduleBlock with only the instructions from this ScheduleBlock which pass though the provided filters; i.e. an instruction will be retained if every function in filter_funcs returns True, the instruction occurs on a channel type contained in channels, and the instruction type is contained in instruction_types .

Warning

Because ScheduleBlock is not aware of the execution time of the context instructions, filtering out some instructions may change the execution time of the remaining instructions.

If no arguments are provided, self is returned.

Parameters

filter_funcs (Callable[..., bool]) – A list of Callables which take a Instruction and return a bool.
channels (Iterable[Channel] | None) – For example, [DriveChannel(0), AcquireChannel(0)].
instruction_types (Iterable[abc.ABCMeta] | abc.ABCMeta) – For example, [PulseInstruction, AcquireInstruction].
check_subroutine (bool) – Set True to individually filter instructions inside a subroutine defined by the Call instruction.

Returns

ScheduleBlock consisting of instructions that matches with filtering condition.

get_parameters

get_parameters(parameter_name)

GitHub

Get parameter object bound to this schedule by string name.

Note that we can define different parameter objects with the same name, because these different objects are identified by their unique uuid. For example,

from qiskit import pulse, circuit
 
amp1 = circuit.Parameter("amp")
amp2 = circuit.Parameter("amp")
 
with pulse.build() as sub_prog:
    pulse.play(pulse.Constant(100, amp1), pulse.DriveChannel(0))
 
with pulse.build() as main_prog:
    pulse.call(sub_prog, name="sub")
    pulse.play(pulse.Constant(100, amp2), pulse.DriveChannel(0))
 
main_prog.get_parameters("amp")

This returns a list of two parameters amp1 and amp2 .

Parameters

parameter_name (str) - Name of parameter.

Returns

Parameter objects that have corresponding name.

Return type

list [qiskit.circuit.parameter.Parameter]

initialize_from

classmethod initialize_from(other_program, name=None)

GitHub

Create new schedule object with metadata of another schedule object.

Parameters

other_program (Any) – Qiskit program that provides metadata to new object.
name (str | None) – Name of new schedule. Name of block is used by default.

Returns

New block object with name and metadata.

Raises

PulseError - When other_program does not provide necessary information.

Return type

ScheduleBlock

is_parameterized

is_parameterized()

GitHub

Return True iff the instruction is parameterized.

Return type

bool

is_referenced

is_referenced()

GitHub

Return True iff the current schedule block contains reference to subroutine.

Return type

bool

is_schedulable

is_schedulable()

GitHub

Return True if all durations are assigned.

Return type

bool

replace

replace(old, new, inplace=True)

GitHub

Return a ScheduleBlock with the old component replaced with a new component.

Parameters

old (ScheduleBlock |Instruction) – Schedule block component to replace.
new (ScheduleBlock |Instruction) – Schedule block component to replace with.
inplace (bool) – Replace instruction by mutably modifying this ScheduleBlock.

Returns

The modified schedule block with old replaced by new .

Return type

ScheduleBlock

Was this page helpful?

Report a bug or request content on GitHub.