QVFitter

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

Bases: object

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)

Methods

add_data	Add a new result.
add_statevectors	Add the ideal results and convert to the heavy outputs.
calc_confidence_level	Calculate confidence level using z value.
calc_data	Make a count dictionary for each unique circuit from all the results.
calc_statistics	Convert the heavy outputs in the different trials into mean and error for plotting.
calc_z_value	Calculate z value using mean and sigma.
plot_hop_accumulative	Plot individual and accumulative heavy output probability (HOP) as a function of number of trials.
plot_qv_data	Plot the qv data as a function of depth
plot_qv_trial	Plot individual trial.
quantum_volume	Return the volume for each depth.
qv_success	Return whether each depth was successful (> 2/3 with confidence level > 0.977 corresponding to z_value = 2) and the confidence level.

Attributes

depths

Return depth list.

heavy_output_counts

Return the number of heavy output counts as measured.

heavy_output_prob_ideal

Return the heavy output probability ideally.

heavy_outputs

Return the ideal heavy outputs dictionary.

qubit_lists

Return depth list.

results

Return all the results.

ydata

Return the average and std of the output probability.