def setUp(self) -> None:
# define some building blocks
self.sin_pt = FunctionPT('sin(omega*t)', 't_duration', channel='X')
self.cos_pt = FunctionPT('sin(omega*t)', 't_duration', channel='Y')
self.exp_pt = AtomicMultiChannelPT(self.sin_pt, self.cos_pt)
self.tpt = TablePT({'X': [(0, 0), (3., 4.), ('t_duration', 2., 'linear')],
'Y': [(0, 1.), ('t_y', 5.), ('t_duration', 0., 'linear')]})
self.complex_pt = RepetitionPT(self.tpt, 5) @ self.exp_pt
self.parameters = dict(t_duration=10, omega=3.14*2/10, t_y=3.4)
def test_issue_451(self):
from qupulse.pulses import TablePT, SequencePT, AtomicMultiChannelPT
gates_template = TablePT({'gate': [(0, 1), (60 * 1e3, 2, 'hold')]})
input_variables = {'period': float(gates_template.duration), 'uptime': 0}
marker_sequence = (TablePT({'m': [(0, 1), ('uptime', 0), ('period', 0)]}), input_variables)
combined_template = AtomicMultiChannelPT(gates_template, marker_sequence)
combined_template.create_program()
marker_sequence2 = TablePT({'m': [(0, 1), (0, 0), (gates_template.duration, 0)]})
combined_template2 = AtomicMultiChannelPT(gates_template, marker_sequence2)
combined_template2.create_program()
def test_regression_template_combination(self):
old_value = qupulse.utils.sympy.SYMPY_DURATION_ERROR_MARGIN
try:
qupulse.utils.sympy.SYMPY_DURATION_ERROR_MARGIN = 1e-9
duration_in_seconds = 2e-6
full_template = ConstantPulseTemplate(duration=duration_in_seconds * 1e9, amplitude_dict={'C1': 1.1})
duration_in_seconds_derived = 1e-9 * full_template.duration
marker_pulse = TablePT({'marker': [(0, 0), (duration_in_seconds_derived * 1e9, 0)]})
full_template = AtomicMultiChannelPT(full_template, marker_pulse)
finally:
qupulse.utils.sympy.SYMPY_DURATION_ERROR_MARGIN = old_value
def get_pulse_template(self) -> PulseTemplate:
fpt = FunctionPT('sin(omega*t)',
't_duration',
'X',
measurements=[('M', 0, 't_duration')])
tpt = TablePT(
{
'Y': [(0, 'a'), ('t_duration', 2)],
'Z': [('t_duration', 1)]
},
measurements=[('N', 0, 't_duration/2')])
mpt = MappingPT(fpt,
parameter_mapping={'omega': '2*pi/t_duration'},
allow_partial_parameter_mapping=True)
ampt = AtomicMultiChannelPT(mpt, tpt)
body = ampt @ ampt
rpt = RepetitionPT(body, 'N_rep', measurements=[('O', 0, 1)])
forpt = ForLoopPT(rpt, 'a', '6')
final = SequencePT(rpt, forpt)
return final