Bayesian vs Frequentist Statistical Model for Randomized Benchmarking

001_demo.py

import numpy as np

# settings:
qubits = [0,1]
lengths = np.arange(1, 260, 28)
num_samples = 20
seed = None

# additional information:
system = 'ibmq_manila'
gate = 'cx'
N = len(qubits)
scale = (2**N -1) / 2**N
experiment_type = "InterleavedRB"
shots = 1024