T_list = []
sink_list = []
run({
"ro_0": ro_0,
"H": state['H'],
"dt": dt,
"sink_list": sink_list,
"T_list": T_list,
"precision": 1e-3,
'sink_limit': 1,
"thres": 0.001,
'lindblad': {
'out': {
'L': operator_a(state['H']),
'l': l
},
},
})
# MkDir('sink')
pickle_dump(T_list, 'sink/1ms_l001g/T_list_' + state['name'] + '.pkl')
pickle_dump(sink_list, 'sink/1ms_l001g/sink_list_' +
state['name'] + '.pkl')
# -----------------------------------------------------------------------------------------------------------------
# ---------------------------------------------------------------------------------------------------------------------
# =====================================================================================================================
# },
]:
ro_0 = DensityMatrix(w_0['obj'])
T_list = []
sink_list = []
run({
"ro_0": ro_0,
"H": H,
"dt": config.dt,
"sink_list": sink_list,
"T_list": T_list,
"precision": 1e-3,
'sink_limit': 1,
'lindblad': {
'out': {
'L': operator_a(H, H.capacity, H.cavity.n_atoms),
'l': config.l
},
},
})
list_to_csv(T_list, 'MM/' + path + '/' + 'T_' + w_0['name'] + '.csv')
# list_to_csv(np.array(T_list) * 1e9, 'MM/' + path + '/' + 'T_' + w_0['name'] + '.csv')
list_to_csv(sink_list,
'MM/' + path + '/' + 'sink_' + w_0['name'] + '.csv')
# ---------------------------------------------------------------------------------------------------------------------
# =====================================================================================================================
