def unconditional_rabi(name,
C13_init_method='MBI',
carbon_A=1,
carbon_B=1,
N_list=np.arange(4, 100, 8),
tau_list=None,
electron_readout_orientation='positive',
tomo_basis='X'):
m = DD.Crosstalk(name)
funcs.prepare(m)
'''set experimental parameters'''
m.params['carbon_nr'] = carbon_A ### Carbon spin that is prepared via MBI
m.params[
'Carbon_B'] = carbon_B ### Carbon spin that the Rabi/Gate is performed on
m.params['reps_per_ROsequence'] = 500
###############
# Carbon INIT #
###############
m.params['Nr_C13_init'] = 1
m.params['C13_init_method'] = C13_init_method
m.params['C13_init_state'] = 'up'
m.params['el_after_init'] = '0'
###############
# Rabi params #
###############
m.params['Carbon_B'] = carbon_B
m.params['Rabi_N_Sweep'] = N_list
if tau_list == None:
tau_list = m.params['C' + str(carbon_B) + '_Ren_tau'] * len(N_list)
m.params['Rabi_tau_Sweep'] = tau_list
m.params['pts'] = len(m.params['Rabi_N_Sweep'])
###############
# tomo params #
###############
m.params['Tomography Bases'] = tomo_basis
m.params['electron_readout_orientation'] = electron_readout_orientation
# sweep stuff
if len(set(N_list)) != 1:
print 'SWEEPING N'
m.params['sweep_name'] = 'Number of pulses'
m.params['sweep_pts'] = m.params['Rabi_N_Sweep']
elif len(set(tau_list)) != 1:
print 'SWEEPING tau'
m.params['sweep_name'] = 'Rabi tau'
m.params['sweep_pts'] = m.params['Rabi_tau_Sweep']
#### parity and mbe settings
m.params['Nr_MBE'] = 0
m.params['Nr_parity_msmts'] = 0
funcs.finish(m, upload=True, debug=False)
def Crosstalk(name,
RO_phase=0,
RO_Z=False,
C13_init_method='swap',
carbon_A=1,
carbon_B=5,
N=np.arange(4, 100, 8),
tau_list=None):
m = DD_2.Crosstalk(name)
funcs.prepare(m)
'''set experimental parameters'''
m.params[
'carbon_nr'] = carbon_A ### Carbon spin that the Ramsey is performed on
m.params[
'Carbon_B'] = carbon_B ### Carbon spin that the Rabi/Gate is performed on
m.params['reps_per_ROsequence'] = 500
m.params['C13_init_state'] = 'up'
m.params['C13_init_method'] = C13_init_method
m.params['sweep_name'] = 'Number of pulses'
m.params['C_RO_phase'] = RO_phase
m.params['C_RO_Z'] = RO_Z
m.params['el_after_init'] = '0'
m.params['Tomography Bases'] = ['Z']
m.params['electron_readout_orientation'] = 'positive'
# ### Sweep parameters
m.params['Rabi_N_Sweep'] = [0] + N
if tau_list == None:
tau_list = m.params['C' + str(carbon_B) + '_Ren_tau' +
m.params['electron_transition']] * len(N)
m.params['Rabi_tau_Sweep'] = m.params['C' + str(
carbon_B) + '_Ren_tau' + m.params['electron_transition']] + tau_list
m.params['pts'] = len(m.params['Rabi_N_Sweep'])
x_tick_labels = []
for i in range(len(tau_list)):
x_tick_labels = x_tick_labels + [
str(tau_list[i] * 1e6) + ', ' + str(N_list[i])
]
# m.params['sweep_pts'] = x_tick_labels
m.params['sweep_pts'] = m.params['Rabi_N_Sweep']
m.params['Nr_C13_init'] = 1
m.params['Nr_MBE'] = 0
m.params['Nr_parity_msmts'] = 0
funcs.finish(m, upload=True, debug=False)
def Crosstalk(name,
RO_phase=0,
RO_Z=False,
C13_init_method='swap',
carbon_A=1,
carbon_B=5,
N=np.arange(4, 100, 8),
tau_list=None):
m = DD.Crosstalk(name)
funcs.prepare(m)
'''set experimental parameters'''
m.params[
'Carbon_A'] = carbon_A ### Carbon spin that the Ramsey is performed on
m.params[
'Carbon_B'] = carbon_B ### Carbon spin that the Rabi/Gate is performed on
m.params['reps_per_ROsequence'] = 150
m.params['C13_init_state'] = 'up'
m.params['C13_init_method'] = C13_init_method
m.params['sweep_name'] = 'Number of pulses'
m.params['C_RO_phase'] = RO_phase
m.params['C_RO_Z'] = RO_Z
# ### Sweep parameters
m.params['Rabi_N_Sweep'] = [0] + N
if tau_list == None:
tau_list = m.params['C' + str(carbon_B) + '_Ren_tau'] * len(N)
m.params['Rabi_tau_Sweep'] = tau_list
m.params['pts'] = len(m.params['Rabi_N_Sweep'])
m.params['sweep_pts'] = m.params['Rabi_N_Sweep']
m.params['Nr_C13_init'] = 1
m.params['Nr_MBE'] = 0
m.params['Nr_parity_msmts'] = 0
funcs.finish(m, upload=True, debug=False)
