# DiscriminationFilter¶

class DiscriminationFilter(discriminator, base=None)[source]

Bases: object

Implements a filter based on a discriminator that takes level 1 data to level 2 data.

Usage:

my_filter = DiscriminationFilter(my_discriminator) new_result = filter.apply(level_1_data)

Parameters
• discriminator (BaseDiscriminationFitter) – a discriminator that maps level 1 data to level 2 data. - Level 1 data may correspond to, e. g., IQ data. - Level 2 data is the state counts.

• base (Optional[int]) – the base of the expected states. If it is not given the base is inferred from the expected_state instance of discriminator.

Methods

 apply Create a new result from the raw_data by converting level 1 data to level 2 data. count Converts discriminated results into raw counts. get_base Returns the base inferred from expected_states.