PostSelectionOptions

class PostSelectionOptions(enable=False, x_pulse_type='xslow', strategy='node')[source]

Bases: BaseOptions

Options for post selecting results.

Attributes

Parameters:

  • enable (bool)

  • x_pulse_type (Literal['xslow', 'rx'])

  • strategy (Literal['node', 'edge'])

enable: bool = False

Whether to enable Post Selection when performing learning experiments.

If True, Post Selection is applied to all the learning circuits. In particular, the following steps are undertaken:

  • Using the passes in qiskit_addon_utils.noise_management.post_selection.transpiler.passes, the learning circuits are modified by adding measurements on the spectator qubits, as well as post selection measurements.

  • The results of each individual learning circuits are post selected by discarding the shots where one or more bits failed to flip, as explained in the docstring of qiskit_addon_utils.noise_management.post_selection.PostSelector.compute_mask().

If False, all the other Post Selection options will be ignored.

strategy: Literal['node', 'edge'] = 'node'

The strategy used to decide if a shot should be kept or discarded.

The available startegies are:

  • 'node': Discard every shot where one or more bits failed to flip. Keep every other shot.

  • 'edge': Discard every shot where there exists a pair of neighbouring qubits for which both of

    the bits failed to flip. Keep every other shot.

See the dosctrings of PostSelector and PostSelector.compute_mask() for more details.

Defaults to node.

x_pulse_type: Literal['xslow', 'rx'] = 'xslow'

The type of the X-pulse used for the post selection measurements.

Methods