PostSelectionOptions

Type: bool

Default value: 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.

Type: Literal['node', 'edge']

Default value: '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.

Type: Literal['xslow', 'rx']

Default value: 'xslow'

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