ProcessTomographyFitter¶

class ProcessTomographyFitter(result, circuits, meas_basis='Pauli', prep_basis='Pauli')[source]¶

Maximum-Likelihood estimation process tomography fitter.

Initialize tomography fitter with experimental data.

Parameters

result (Result) – a Qiskit Result object obtained from executing tomography circuits.
circuits (Union[List[QuantumCircuit], List[str]]) – a list of circuits or circuit names to extract count information from the result object.
meas_basis (Union[TomographyBasis, str]) – (default: ‘Pauli’) A function to return measurement operators corresponding to measurement outcomes. See Additional Information.
prep_basis (Union[TomographyBasis, str]) – (default: ‘Pauli’) A function to return preparation operators. See Additional Information

Attributes

`ProcessTomographyFitter.data`	Return tomography data
`ProcessTomographyFitter.measure_basis`	Return the tomography measurement basis.
`ProcessTomographyFitter.preparation_basis`	Return the tomography preparation basis.

Methods

`ProcessTomographyFitter.add_data`(result, …)	Add tomography data from a Qiskit Result object.
`ProcessTomographyFitter.fit`([method, …])	Reconstruct a quantum channel using CVXPY convex optimization.
`ProcessTomographyFitter.set_measure_basis`(basis)	Set the measurement basis
`ProcessTomographyFitter.set_preparation_basis`(basis)	Set the preparation basis function