def test_waveform_samples():
# this is a very naive check: can we sample from the built-in template
# waveforms?
duration = 1e-6
waveforms = [
FlatWaveform(duration=duration, iq=1.0),
FlatWaveform(duration=duration, iq=1.0 + 2.0j),
GaussianWaveform(duration=duration, fwhm=2.0, t0=1.0),
DragGaussianWaveform(duration=duration,
fwhm=duration / 4,
t0=duration / 2,
anh=5.0,
alpha=3.0),
HrmGaussianWaveform(
duration=duration,
fwhm=duration / 4,
t0=duration / 2,
anh=5.0,
alpha=3.0,
second_order_hrm_coeff=0.5,
),
ErfSquareWaveform(duration=duration,
risetime=duration / 8,
pad_left=0.0,
pad_right=0.0),
BoxcarAveragerKernel(duration=duration),
]
rates = [int(1e9), 1e9, 1e9 + 0.5]
for rate in rates:
for wf in waveforms:
assert wf.samples(rate) is not None
def test_parse_pulse():
wf = FlatWaveform(duration=1.0, iq=1.0)
parse_equals('PULSE 0 "rf" flat(duration: 1.0, iq: 1.0)', Pulse(Frame([Qubit(0)], "rf"), wf))
parse_equals('PULSE 0 1 "ff" flat(duration: 1.0, iq: 1.0)', Pulse(Frame([Qubit(0), Qubit(1)], "ff"), wf))
parse_equals(
'NONBLOCKING PULSE 0 "rf" flat(duration: 1.0, iq: 1.0)',
Pulse(Frame([Qubit(0)], "rf"), wf, nonblocking=True),
)
def test_parsing_capture():
wf = FlatWaveform(duration=1.0, iq=1.0)
parse_equals(
"DECLARE iq REAL[2]\n" 'CAPTURE 0 "ro_rx" flat(duration: 1.0, iq: 1.0) iq',
Declare("iq", "REAL", 2),
Capture(Frame([Qubit(0)], "ro_rx"), wf, MemoryReference("iq")),
)
parse_equals(
"DECLARE iq REAL[2]\n" 'NONBLOCKING CAPTURE 0 "ro_rx" flat(duration: 1.0, iq: 1.0) iq',
Declare("iq", "REAL", 2),
Capture(Frame([Qubit(0)], "ro_rx"), wf, MemoryReference("iq"), nonblocking=True),
)
def test_parse_template_waveforms():
def wf_agrees(wf_str: str, wf: TemplateWaveform):
frame = Frame([Qubit(0)], "rf")
pulse_str = 'PULSE 0 "rf" ' + wf_str
parse_equals(pulse_str, Pulse(frame, wf))
wf_agrees("flat(duration: 1.0, iq: 2.0)", FlatWaveform(duration=1.0,
iq=2.0))
wf_agrees("flat(duration: 1.0, iq: 2)", FlatWaveform(duration=1.0, iq=2.0))
wf_agrees("flat(iq: 2.0, duration: 1.0)", FlatWaveform(duration=1.0,
iq=2.0))
wf_agrees("flat(duration: 1.0, iq: 1 + 2.0*i)",
FlatWaveform(duration=1.0, iq=1.0 + 2.0j))
wf_agrees(
"flat(duration: 1.0, iq: 1.0, detuning: 1e-5)",
FlatWaveform(duration=1.0, iq=1.0, detuning=1e-5),
)
wf_agrees("flat(duration: 1.0, iq: 1.0, scale: 0.5)",
FlatWaveform(duration=1.0, iq=1.0, scale=0.5))
wf_agrees(
"gaussian(fwhm: 2.0, t0: 1.0, duration: 3.0)",
GaussianWaveform(duration=3.0, fwhm=2.0, t0=1.0),
)
wf_agrees(
"drag_gaussian(fwhm: 2.0, t0: 1.0, anh: 5.0, alpha: 3.0, duration: 5.0)",
DragGaussianWaveform(duration=5.0,
fwhm=2.0,
t0=1.0,
anh=5.0,
alpha=3.0),
)
wf_agrees(
"hrm_gaussian(fwhm: 2.0, t0: 1.0, anh: 5.0, alpha: 3.0, " +
" duration: 5.0, second_order_hrm_coeff: 0.5)".strip(),
HrmGaussianWaveform(duration=5.0,
fwhm=2.0,
t0=1.0,
anh=5.0,
alpha=3.0,
second_order_hrm_coeff=0.5),
)
wf_agrees(
"erf_square(risetime: 0.5, pad_left: 1.0, pad_right: 0.0, duration: 3.0)",
ErfSquareWaveform(duration=3.0,
risetime=0.5,
pad_left=1.0,
pad_right=0.0),
)
wf_agrees("boxcar_kernel(duration: 1.0)",
BoxcarAveragerKernel(duration=1.0))
# missing required field
with pytest.raises(ValueError):
parse('PULSE 0 "rf" flat(duration: 1.0)')
# undefined template
with pytest.raises(ValueError):
parse('PULSE 0 "rf" undefined_template(duration: 1)')
def test_parsing_defcal_measure():
parse_equals("DEFCAL MEASURE 0:\n" " NOP\n", DefMeasureCalibration(Qubit(0), None, [NOP]))
wf = FlatWaveform(duration=1.0, iq=1.0)
# TODO: note that in a calibration body, reference to the formal argument addr parses
# as a memoryreference.
parse_equals(
"DEFCAL MEASURE q addr:\n"
' PULSE q "ro_tx" flat(duration: 1.0, iq: 1.0+0.0*i)\n'
' CAPTURE q "ro_rx" flat(duration: 1.0, iq: 1.0+0*i) addr[0]\n',
DefMeasureCalibration(
FormalArgument("q"),
FormalArgument("addr"),
[
Pulse(Frame([FormalArgument("q")], "ro_tx"), wf),
Capture(Frame([FormalArgument("q")], "ro_rx"), wf, MemoryReference("addr")),
],
),
)
def flat(**kwargs):
return FlatWaveform(duration=1e-8, iq=1.0, **kwargs).samples(1e9)