BaseComposedLayer

class tqec.compile.blocks.BaseComposedLayer(trimmed_spatial_borders=frozenset({}))

Bases: WithSpatialFootprint, WithTemporalFootprint

Base class representing a composed “layer”.

A composed layer is defined as a sequence (in time) of atomic layers. As such, composed layers are expected to have either a scalable time footprint (i.e., that grows with k) or a constant time footprint that is strictly greater than 1.

Initialise the instance.

Parameters:

• removed_spatial_borders – all the spatial borders that have been trimmed from the layer.

• trimmed_spatial_borders (frozenset[SpatialBlockBorder])

Methods

__init__([trimmed_spatial_borders])	Initialise the instance.
all_layers(k)	Returns all the base layers represented by the instance.
get_temporal_layer_on_border(border)
shape(k)	Returns the 2-dimensional shape of the object for the given k.
timesteps(k)	Returns the number of timesteps needed to implement the object for the provided scaling parameter k.
to_sequenced_layer_with_schedule(schedule)	Splits self into a SequencedLayers instance with the provided schedule.
with_spatial_borders_trimmed(borders)	Returns self with the provided spatial borders removed.
with_temporal_borders_replaced(...)	Returns self with the provided temporal borders replaced.

Attributes

scalable_shape	Returns the 2-dimensional shape of the object as an exact expression that can then be used to compute the shape for any value of k.
scalable_timesteps	Returns the number of timesteps needed to implement the object as an exact expression that can then be used to compute the number of timesteps for any value of k.
trimmed_spatial_borders

Detailed methods

__init__(trimmed_spatial_borders=frozenset({}))

Initialise the instance.

Parameters:

• removed_spatial_borders – all the spatial borders that have been trimmed from the layer.

• trimmed_spatial_borders (frozenset[SpatialBlockBorder])

abstract all_layers(k)

Returns all the base layers represented by the instance.

Returns:

All the base layers represented by the instance. The returned iterable should have as many entries as self.timesteps(k).

Parameters:

k (int)

Return type:

Iterable[BaseLayer]

abstract get_temporal_layer_on_border(border)

Parameters:

border (TemporalBlockBorder)

Return type:

BaseLayer

shape(k)

Returns the 2-dimensional shape of the object for the given k.

Parameters:

k (int) – scaling parameter.

Returns:

the 2-dimensional shape of the object for the given k.

Return type:

PhysicalQubitShape2D

timesteps(k)

Returns the number of timesteps needed to implement the object for the provided scaling parameter k.

Parameters:

k (int) – scaling parameter.

Returns:

the number of timesteps needed to implement the object for the provided scaling parameter k.

Return type:

int

abstract to_sequenced_layer_with_schedule(schedule)

Splits self into a SequencedLayers instance with the provided schedule.

Parameters:

schedule (tuple[LinearFunction, ...]) – duration of each of the layers in the returned SequencedLayers instance.

Returns:

an instance of SequencedLayers that is equivalent to self (same duration, same layers applied, …) and that has the provided schedule.

Return type:

SequencedLayers

abstract with_spatial_borders_trimmed(borders)

Returns self with the provided spatial borders removed.

Parameters:

borders (Iterable[SpatialBlockBorder]) – spatial borders to remove.

Returns:

a copy of self with the provided borders removed.

Return type:

Self

abstract with_temporal_borders_replaced(border_replacements)

Returns self with the provided temporal borders replaced.

Parameters:

• borders – a mapping from temporal borders to replace to their replacement. A value of None as a replacement means that the border is removed.

• border_replacements (Mapping[TemporalBlockBorder, BaseLayer | None])

Returns:

a copy of self with the provided borders replaced, or None if replacing the provided borders from self result in an empty temporal footprint.

Return type:

BaseLayer | BaseComposedLayer | None