TensoredFilter.apply

TensoredFilter.apply(raw_data, method='least_squares')

Apply the calibration matrices to results.

Parameters

• raw_data (dict or Result) –

  The data to be corrected. Can be in one of two forms:

  • A counts dictionary from results.get_counts

  • A Qiskit Result

• method (str) –

  fitting method. The following methods are supported:

  • ’pseudo_inverse’: direct inversion of the cal matrices.

  • ’least_squares’: constrained to have physical probabilities.

  • If None, ‘least_squares’ is used.

Returns

The corrected data in the same form as raw_data

Return type

dict or Result

Raises

QiskitError – if raw_data is not in a one of the defined forms.