QVFitter

class QVFitter(backend_result=None, statevector_result=None, qubit_lists=None)

Class for fitters for quantum volume.

Parameters

• backend_result (list) – list of results (qiskit.Result).

• statevector_result (list) – the ideal statevectors of each circuit

• qubit_lists (list) – list of qubit lists (what was passed to the circuit generation)

Attributes

QVFitter.depths	Return depth list.
QVFitter.heavy_output_counts	Return the number of heavy output counts as measured.
QVFitter.heavy_output_prob_ideal	Return the heavy output probability ideally.
QVFitter.heavy_outputs	Return the ideal heavy outputs dictionary.
QVFitter.qubit_lists	Return depth list.
QVFitter.results	Return all the results.
QVFitter.ydata	Return the average and std of the output probability.

Methods

QVFitter.add_data(new_backend_result[, …])	Add a new result.
QVFitter.add_statevectors(new_statevector_result)	Add the ideal results and convert to the heavy outputs.
QVFitter.calc_data()	Make a count dictionary for each unique circuit from all the results.
QVFitter.calc_statistics()	Convert the heavy outputs in the different trials into mean and error for plotting.
QVFitter.plot_qv_data([ax, show_plt])	Plot the qv data as a function of depth
QVFitter.quantum_volume()	Return the volume for each depth.
QVFitter.qv_success()	Return whether each depth was successful (>2/3 with confidence greater than 97.5) and the confidence