conf['nqubits'] = 1
conf['ndetectors'] = 1
conf['crosstalk'] = np.array([
[1.0,0.0],
[0.0,1.0]])
conf['bellstate'] = False
conf['dodriftcorrection'] = 0
conf['doaccidentalcorrection'] = 0
conf['doerrorestimation'] = 0
conf['window'] = 1
conf['efficiency'] = np.array([
1.0])
conf['rhostart'] = []
conf['beta'] = 0
conf['usederivative'] = 1
conf['method'] = 'MLE'
tomo_input = np.array([
[(1+0j),0j,(55+0j),(1+0j),0j],
[(1+0j),0j,(22+0j),0j,(1+0j)],
[(1+0j),0j,(27+0j),(0.7071067811865476+0j),(0.7071067811865476+0j)],
[(1+0j),0j,(52+0j),(0.7071067811865476+0j),(-0.7071067811865476+0j)],
[(1+0j),0j,(7+0j),(0.7071067811865476+0j),0.7071067811865476j],
[(1+0j),0j,(74+0j),(0.7071067811865476+0j),(-0-0.7071067811865476j)]])
intensity = np.array([1.0,1.0,1.0,1.0,1.0,1.0])