def __init__(self, name, num_models=10, **kw):
super().__init__(name, **kw)
self._num_models = num_models
self.add_parameter('cfg_sampling_rate',
parameter_class=ManualParameter,
initial_value=1e9,
vals=vals.Numbers())
self.add_parameter('cfg_gain_correction',
parameter_class=ManualParameter,
initial_value=1,
vals=vals.Numbers())
self.add_parameter('instr_AWG',
parameter_class=InstrumentRefParameter,
docstring='Used in combination with the real-time '
'predistortion filters of the ZI HDAWG')
self.add_parameter('cfg_awg_channel',
parameter_class=ManualParameter,
vals=vals.Ints(),
docstring='Used in combination with the real-time '
'predistortion filters of the ZI HDAWG')
for i in range(self._num_models):
self.add_parameter('filter_model_{:02}'.format(i),
parameter_class=ManualParameter,
initial_value={},
vals=vals.Dict())
def __init__(self, name, **kw):
logging.info(__name__ + ' : Initializing instrument')
super().__init__(name, **kw)
# FIXME: rename to instr_AWG to be consistent with other instr refs
self.add_parameter(
'AWG', parameter_class=InstrumentRefParameter, docstring=(
"Name of the AWG instrument used, note that this can also be "
"a UHFQC or a CBox as these also contain AWG's"),
vals=vals.Strings())
self._add_cfg_parameters()
self._add_waveform_parameters()
self.add_parameter(
'LutMap', docstring=(
'Dictionary containing the mapping between waveform'
' names and parameter names (codewords).'),
initial_value={}, vals=vals.Dict(),
parameter_class=ManualParameter)
self.add_parameter('sampling_rate', unit='Hz',
vals=vals.Numbers(1, 1e10),
initial_value=1e9,
parameter_class=ManualParameter)
# Used to determine bounds in plotting.
# overwrite in child classes if used.
self._voltage_min = None
self._voltage_max = None
# initialize the _wave_dict to an empty dictionary
self._wave_dict = {}
self.set_default_lutmap()
def __init__(self, name, **kw):
super().__init__(name, **kw)
# Instrument parameters
for parname in ['x', 'y', 'z', 'x0', 'y0', 'z0']:
self.add_parameter(parname,
unit='m',
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0)
self.add_parameter('noise',
unit='V',
label='white noise amplitude',
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0)
self.add_parameter('delay',
unit='s',
label='Sampling delay',
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0)
self.add_parameter('parabola',
unit='V',
get_cmd=self._measure_parabola)
self.add_parameter('parabola_list',
unit='V',
get_cmd=self._measure_parabola_list)
self.add_parameter('skewed_parabola',
unit='V',
get_cmd=self._measure_skewed_parabola)
self.add_parameter('cos_mod_parabola',
unit='V',
get_cmd=self._measure_cos_mod_parabola)
self.add_parameter('lorentz_dip',
unit='V',
get_cmd=self._measure_lorentz_dip)
self.add_parameter('lorentz_dip_cos_mod',
unit='V',
get_cmd=self._measure_lorentz_dip_cos_mod)
self.add_parameter('array_like',
unit='a.u.',
parameter_class=ManualParameter,
vals=vals.Arrays())
self.add_parameter('dict_like',
unit='a.u.',
parameter_class=ManualParameter,
vals=vals.Dict())
self.add_parameter('status',
vals=vals.Anything(),
parameter_class=ManualParameter)
def __init__(self, name, num_models=10, **kw):
super().__init__(name, **kw)
self._num_models = num_models
self.add_parameter('cfg_hardware_friendly',
initial_value=False,
parameter_class=ManualParameter,
vals=vals.Bool())
self.add_parameter('cfg_sampling_rate',
parameter_class=ManualParameter,
initial_value=1e9,
vals=vals.Numbers())
self.add_parameter('cfg_gain_correction',
parameter_class=ManualParameter,
initial_value=1,
vals=vals.Numbers())
for i in range(self._num_models):
self.add_parameter('filter_model_{:02}'.format(i),
parameter_class=ManualParameter,
initial_value={},
vals=vals.Dict())
def __init__(self, name, **kw):
logging.info(__name__ + ' : Initializing instrument')
super().__init__(name, **kw)
self.add_parameter('QWG', parameter_class=InstrumentParameter)
self.add_parameter('F_kernel_instr',
parameter_class=InstrumentParameter)
self.add_parameter('F_amp', unit='frac',
docstring=('Amplitude of flux pulse as fraction of '
'the peak amplitude. Beware of factor 2'
' with Vpp in the QWG'),
initial_value=0.5,
parameter_class=ManualParameter)
self.add_parameter('F_length', unit='s',
parameter_class=ManualParameter,
initial_value=200e-9)
self.add_parameter('F_ch', label='Flux channel',
vals=vals.Ints(),
parameter_class=ManualParameter)
self.add_parameter('F_delay', label='Flux pulse delay',
unit='s',
initial_value=0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_compensation_delay',
label='compens. pulse delay',
unit='s',
initial_value=4e-6,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_lambda_1',
docstring='first lambda coef. for martinis pulse',
label='Lambda_1',
unit='',
initial_value=0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_lambda_2',
docstring='second lambda coef. for martinis pulse',
label='Lambda_2',
unit='',
initial_value=0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_lambda_3',
docstring='third lambda coef. for martinis pulse',
label='Lambda_3',
unit='',
initial_value=0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_theta_f',
docstring='theta_f for martinis pulse',
label='theta_f',
unit='deg',
initial_value=90,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_J2',
docstring='coupling between 11-02',
label='J2',
unit='Hz',
initial_value=10e6,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_f_interaction',
label='interaction frequency',
unit='Hz',
initial_value=5e9,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_dac_flux_coef',
docstring='conversion factor AWG voltage to flux',
label='dac flux coef',
unit='(V^-1)',
initial_value=1.0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_E_c',
label='qubit E_c',
unit='Hz',
initial_value=250e6,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_f_01_max',
label='sweet spot freq',
unit='Hz',
initial_value=6e9,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('F_asymmetry',
label='qubit asymmetry',
unit='Hz',
initial_value=0.0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('codeword_dict',
docstring='Dict assigning codewords to pulses',
label='codeword dict',
unit='',
initial_value={},
vals=vals.Anything(),
parameter_class=ManualParameter)
self.add_parameter('sampling_rate',
docstring='Sampling rate of the QWG',
label='sampling rate',
unit='Hz',
initial_value=1.0e9,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('Z_length',
docstring=('Duration of single qubit Z pulse in'
' seconds'),
label='Z length',
unit='s',
initial_value=10e-9,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('Z_amp',
docstring=('Amplitude of the single qubit phase '
'correction in CZ pulses.'),
label='Z amplitude',
unit='frac',
initial_value=0.0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('Z_amp_grover',
docstring=('Amplitude of the single qubit phase '
'correction for the second CZ pulse '
"used in Grover's algorithm."),
label='Z amplitude 2',
unit='frac',
initial_value=0.0,
vals=vals.Numbers(),
parameter_class=ManualParameter)
self.add_parameter('max_waveform_length', unit='s',
parameter_class=ManualParameter,
initial_value=30e-6)
self.add_parameter('codeword_channels',
parameter_class=ManualParameter,
docstring='Channels used for triggering specific '
'codewords.',
vals=vals.Lists(vals.Ints()))
self.add_parameter('disable_CZ',
parameter_class=ManualParameter,
vals=vals.Bool(),
initial_value=False)
self.add_parameter('pulse_map',
initial_value={'cz': 'adiabatic_Z',
'cz_grover': 'adiabatic_Z_grover',
'square': 'square'},
parameter_class=ManualParameter,
vals=vals.Dict())
self.add_parameter('wave_dict_unit',
get_cmd=self._get_wave_dict_unit,
set_cmd=self._set_wave_dict_unit,
docstring='Unit in which the waveforms are '
'specified.\n'
'"frac" means "fraction of the maximum QWG '
'range".\n'
'"V" means volts.',
vals=vals.Enum('frac', 'V'))
self._wave_dict_unit = 'frac' # Initial value for wave_dict_unit
self.add_parameter('V_offset',
unit='V',
label='V offset',
docstring='pulsed sweet spot offset',
parameter_class=ManualParameter,
initial_value=0,
vals=vals.Numbers())
self.add_parameter('V_per_phi0',
unit='V',
label='V per phi_0',
docstring='pulsed voltage required for one phi0 '
'of flux',
parameter_class=ManualParameter,
initial_value=1,
vals=vals.Numbers())
self.add_parameter('S_gauss_sigma',
unit='s',
label='gauss sigma',
docstring='Width (sigma) of Gaussian shaped flux '
'pulse.',
parameter_class=ManualParameter,
initial_value=40e-9,
vals=vals.Numbers())
self.add_parameter('S_amp',
unit='frac',
label='S_amp',
docstring='Amplitude of scoping flux pulse.',
parameter_class=ManualParameter,
initial_value=0.5,
vals=vals.Numbers())
self._wave_dict = {}
def __init__(self, name, **kw):
super().__init__(name, **kw)
# Instrument parameters
for parname in ["x", "y", "z", "x0", "y0", "z0"]:
self.add_parameter(
parname,
unit="m",
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0.,
)
# Instrument integer parameters
for parname in [
"x_int", "y_int", "z_int", "x0_int", "y0_int", "z0_int"
]:
self.add_parameter(
parname,
unit="m",
parameter_class=ManualParameter,
vals=vals.Ints(),
initial_value=0,
)
self.add_parameter(
"noise",
unit="V",
label="white noise amplitude",
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0,
)
self.add_parameter(
"delay",
unit="s",
label="Sampling delay",
parameter_class=ManualParameter,
vals=vals.Numbers(),
initial_value=0,
)
self.add_parameter("parabola",
unit="V",
get_cmd=self._measure_parabola)
self.add_parameter("parabola_int",
unit="V",
get_cmd=self._measure_parabola_int)
self.add_parameter("parabola_float_int",
unit="V",
get_cmd=self._measure_parabola_float_int)
self.add_parameter("parabola_list",
unit="V",
get_cmd=self._measure_parabola_list)
self.add_parameter("skewed_parabola",
unit="V",
get_cmd=self._measure_skewed_parabola)
self.add_parameter("cos_mod_parabola",
unit="V",
get_cmd=self._measure_cos_mod_parabola)
self.add_parameter("lorentz_dip",
unit="V",
get_cmd=self._measure_lorentz_dip)
self.add_parameter("lorentz_dip_cos_mod",
unit="V",
get_cmd=self._measure_lorentz_dip_cos_mod)
self.add_parameter(
"array_like",
unit="a.u.",
parameter_class=ManualParameter,
vals=vals.Arrays(),
)
self.add_parameter("nested_lists_like",
unit="a.u.",
parameter_class=ManualParameter,
vals=vals.Lists(elt_validator=vals.Lists()))
self.add_parameter("dict_like",
unit="a.u.",
parameter_class=ManualParameter,
vals=vals.Dict())
self.add_parameter("complex_like",
unit="a.u.",
parameter_class=ManualParameter,
vals=vals.ComplexNumbers())
self.add_parameter("status",
vals=vals.Anything(),
parameter_class=ManualParameter)
def __init__(self,
instrument_name: str,
acquisition_controller_names: List[str] = [],
default_settings={},
**kwargs):
# TODO: Change acquisition_controller_names to acquisition_controllers
super().__init__(instrument_name, **kwargs)
# Override untargeted pulse adding (measurement pulses can be added)
self.pulse_sequence.allow_untargeted_pulses = True
default_settings = {
'channel_range': 2,
'coupling': 'DC',
**default_settings
}
# Define channels
self._acquisition_channels = {
'ch' + idx: Channel(instrument_name=self.instrument_name(),
name='ch' + idx,
id=idx,
input=True)
for idx in ['A', 'B', 'C', 'D']
}
self._aux_channels = {
'aux' + idx: Channel(instrument_name=self.instrument_name(),
name='aux' + idx,
input_TTL=True,
output_TTL=(0, 5))
for idx in ['1', '2']
}
self._channels = {
**self._acquisition_channels,
**self._aux_channels, 'trig_in':
Channel(instrument_name=self.instrument_name(),
name='trig_in',
id='trig_in',
input_trigger=True),
'software_trig_out':
Channel(instrument_name=self.instrument_name(),
name='software_trig_out')
}
self.pulse_implementations = [
SteeredInitializationImplementation(pulse_requirements=[]),
TriggerWaitPulseImplementation(pulse_requirements=[])
]
# Organize acquisition controllers
self.acquisition_controllers = {}
for acquisition_controller_name in acquisition_controller_names:
self.add_acquisition_controller(acquisition_controller_name)
# Obtain a list of all valid ATS configuration settings
self._configuration_settings_names = sorted(
list(inspect.signature(AlazarTech_ATS.config).parameters.keys()))
# Obtain a list of all valid ATS acquisition settings
self._acquisition_settings_names = sorted(
list(inspect.signature(AlazarTech_ATS.acquire).parameters.keys()))
self._settings_names = sorted(self._acquisition_settings_names +
self._configuration_settings_names)
self.add_parameter(name='default_settings',
get_cmd=None,
set_cmd=None,
initial_value=default_settings,
docstring='Default settings to use when setting up '
'ATS for a pulse sequence')
initial_configuration_settings = {
k: v
for k, v in default_settings.items()
if k in self._configuration_settings_names
}
self.add_parameter(
name='configuration_settings',
get_cmd=None,
set_cmd=None,
vals=vals.Dict(allowed_keys=self._configuration_settings_names),
initial_value=initial_configuration_settings)
initial_acquisition_settings = {
k: v
for k, v in default_settings.items()
if k in self._acquisition_settings_names
}
self.add_parameter(
name='acquisition_settings',
get_cmd=None,
set_cmd=None,
vals=vals.Dict(allowed_keys=self._acquisition_settings_names),
initial_value=initial_acquisition_settings)
self.add_parameter(name="acquisition",
parameter_class=ATSAcquisitionParameter)
self.add_parameter(name='default_acquisition_controller',
set_cmd=None,
initial_value='None',
vals=vals.Enum(
None, 'None',
*self.acquisition_controllers.keys()))
self.add_parameter(name='acquisition_controller',
set_cmd=None,
vals=vals.Enum(
'None', *self.acquisition_controllers.keys()))
# Names of acquisition channels [chA, chB, etc.]
self.add_parameter(name='acquisition_channels',
set_cmd=None,
initial_value=[],
vals=vals.Anything(),
docstring='Names of acquisition channels '
'[chA, chB, etc.]. Set by the layout')
self.add_parameter(name='samples',
set_cmd=None,
initial_value=1,
docstring='Number of times to acquire the pulse '
'sequence.')
self.add_parameter(
'points_per_trace',
get_cmd=lambda: self._acquisition_controller.samples_per_trace(),
docstring='Number of points in a trace.')
self.add_parameter(name='trigger_channel',
set_cmd=None,
initial_value='trig_in',
vals=vals.Enum('trig_in', 'disable',
*self._acquisition_channels.keys()))
self.add_parameter(name='trigger_slope',
set_cmd=None,
vals=vals.Enum('positive', 'negative'))
self.add_parameter(name='trigger_threshold',
unit='V',
set_cmd=None,
vals=vals.Numbers())
self.add_parameter(
name='sample_rate',
unit='samples/sec',
get_cmd=partial(self.setting, 'sample_rate'),
set_cmd=lambda x: self.default_settings().update(sample_rate=x),
vals=vals.Numbers(),
docstring='Acquisition sampling rate (Hz)')
self.add_parameter('capture_full_trace',
initial_value=False,
vals=vals.Bool(),
set_cmd=None,
docstring='Capture from t=0 to end of pulse '
'sequence. False by default, in which '
'case start and stop times correspond to '
'min(t_start) and max(t_stop) of all '
'pulses with the flag acquire=True, '
'respectively.')
self.traces = {}
self.pulse_traces = {}
def create_channel_parameters(self, id: str, ch_name: str, ch_type: str):
"""Create parameters in the pulsar specific to one added channel.
Arguments:
id: Channel id. Typically ``ch{index}`` where index is a 1-based
channel index. For marker channels, usually ``ch{ch_nr + 1}m``.
ch_name: Name of the channel to address it in rest of the codebase.
ch_type: Type of channel: ``"analog"`` or ``"marker"``.
"""
# Sanity check
if ch_type not in ["analog", "marker"]:
raise ValueError(f"Invalid {ch_type=}.")
pulsar = self.pulsar
awg = self.awg
pulsar.add_parameter(f"{ch_name}_id", get_cmd=lambda: id)
pulsar.add_parameter(f"{ch_name}_awg", get_cmd=lambda: awg.name)
pulsar.add_parameter(f"{ch_name}_type", get_cmd=lambda: ch_type)
if 'amp' in self.IMPLEMENTED_ACCESSORS:
pulsar.add_parameter(
f"{ch_name}_amp",
label=f"{ch_name} amplitude",
unit='V',
set_cmd=partial(self.awg_setter, id, "amp"),
get_cmd=partial(self.awg_getter, id, "amp"),
vals=vals.Numbers(*self.CHANNEL_AMPLITUDE_BOUNDS[ch_type]))
if 'offset' in self.IMPLEMENTED_ACCESSORS:
pulsar.add_parameter(
f"{ch_name}_offset",
unit='V',
set_cmd=partial(self.awg_setter, id, "offset"),
get_cmd=partial(self.awg_getter, id, "offset"),
vals=vals.Numbers(*self.CHANNEL_OFFSET_BOUNDS[ch_type]))
if ch_type == "analog":
pulsar.add_parameter(f"{ch_name}_distortion",
label=f"{ch_name} distortion mode",
initial_value="off",
vals=vals.Enum("off", "precalculate"),
parameter_class=ManualParameter)
pulsar.add_parameter(f"{ch_name}_distortion_dict",
vals=vals.Dict(),
parameter_class=ManualParameter)
pulsar.add_parameter(f"{ch_name}_charge_buildup_compensation",
parameter_class=ManualParameter,
vals=vals.Bool(),
initial_value=False)
pulsar.add_parameter(f"{ch_name}_compensation_pulse_scale",
parameter_class=ManualParameter,
vals=vals.Numbers(0., 1.),
initial_value=0.5)
pulsar.add_parameter(f"{ch_name}_compensation_pulse_delay",
initial_value=0,
unit='s',
parameter_class=ManualParameter)
pulsar.add_parameter(
f"{ch_name}_compensation_pulse_gaussian_filter_sigma",
initial_value=0,
unit='s',
parameter_class=ManualParameter)
else: # ch_type == "marker"
# So far no additional parameters specific to marker channels
pass
def __init__(self, name, qubits, connectivity_graph, **kw):
"""
Instantiates device instrument and adds its parameters.
Args:
name (str): name of the device
qubits (list of QudevTransmon or names of QudevTransmon objects): qubits of the device
connectivity_graph: list of elements of the form [qb1, qb2] with qb1 and qb2 QudevTransmon objects or names
thereof. qb1 and qb2 should be physically connected on the device.
"""
super().__init__(name, **kw)
qb_names = [qb if isinstance(qb, str) else qb.name for qb in qubits]
qubits = [qb if not isinstance(qb, str) else self.find_instrument(qb) for qb in qubits]
connectivity_graph = [[qb1 if isinstance(qb1, str) else qb1.name,
qb2 if isinstance(qb2, str) else qb2.name] for [qb1, qb2] in connectivity_graph]
self._two_qb_gates = []
for qb in qubits:
setattr(self, qb.name, qb)
self.qubits = qubits
self.add_parameter('qb_names',
vals=vals.Lists(),
initial_value=qb_names,
parameter_class=ManualParameter)
self._operations = {} # dictionary containing dictionaries of operations with parameters
# Instrument reference parameters
self.add_parameter('instr_mc',
parameter_class=InstrumentRefParameter)
self.add_parameter('instr_pulsar',
parameter_class=InstrumentRefParameter)
self.add_parameter('instr_dc_source',
parameter_class=InstrumentRefParameter)
self.add_parameter('instr_trigger',
parameter_class=InstrumentRefParameter)
self.add_parameter('connectivity_graph',
vals=vals.Lists(),
label="Qubit Connectivity Graph",
docstring="Stores the connections between the qubits "
"in form of a list of lists [qbi_name, qbj_name]",
parameter_class=ManualParameter,
initial_value=connectivity_graph
)
self.add_parameter('last_calib',
vals=vals.Strings(),
initial_value='',
docstring='stores timestamp of last calibration',
parameter_class=ManualParameter)
self.add_parameter('operations',
docstring='a list of operations on the device, without single QB operations.',
get_cmd=self._get_operations)
self.add_parameter('two_qb_gates',
docstring='stores all two qubit gate names',
get_cmd=lambda s=self: copy(s._two_qb_gates)
)
self.add_parameter('relative_delay_graph',
label='Relative Delay Graph',
docstring='Stores the relative delays between '
'drive and flux channels of the device.',
initial_value=RelativeDelayGraph(),
parameter_class=ManualParameter,
set_parser=RelativeDelayGraph)
self.add_parameter('flux_crosstalk_calibs',
parameter_class=ManualParameter,
)
# Pulse preparation parameters
default_prep_params = dict(preparation_type='wait',
post_ro_wait=1e-6, reset_reps=1)
self.add_parameter('preparation_params', parameter_class=ManualParameter,
initial_value=default_prep_params, vals=vals.Dict())
