qibocal.protocols.two_qubit_interaction.chevron package#

Submodules#

qibocal.protocols.two_qubit_interaction.chevron.chevron module#

SWAP experiment for two qubit gates, chevron plot.

class qibocal.protocols.two_qubit_interaction.chevron.chevron.ChevronParameters(amplitude_min_factor: float, amplitude_max_factor: float, amplitude_step_factor: float, duration_min: float, duration_max: float, duration_step: float, dt: Optional[int] = 0, parking: bool = True, native: str = 'CZ')[source]#

Bases: Parameters

CzFluxTime runcard inputs.

amplitude_min_factor: float#: Amplitude minimum.

amplitude_max_factor: float#: Amplitude maximum.

amplitude_step_factor: float#: Amplitude step.

duration_min: float#: Duration minimum.

duration_max: float#: Duration maximum.

duration_step: float#: Duration step.

dt: Optional[int] = 0#: Time delay between flux pulses and readout.

parking: bool = True#: Wether to park non interacting qubits or not.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

property amplitude_range#

property duration_range#

hardware_average: bool = False#: By default hardware average will be performed.

nshots: int#: Number of executions on hardware.

relaxation_time: float#: Wait time for the qubit to decohere back to the gnd state.

class qibocal.protocols.two_qubit_interaction.chevron.chevron.ChevronResults(amplitude: dict[Tuple[Union[str, int], Union[str, int]], float], duration: dict[Tuple[Union[str, int], Union[str, int]], int], native: str = 'CZ')[source]#

Bases: Results

CzFluxTime outputs when fitting will be done.

amplitude: dict[Tuple[Union[str, int], Union[str, int]], float]#: CZ angle.

duration: dict[Tuple[Union[str, int], Union[str, int]], int]#: Virtual Z phase correction.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

_to_json(path: Path, filename: str)#: Helper function to dump to json.

_to_npz(path: Path, filename: str)#: Helper function to use np.savez while converting keys into strings.

static load_data(path: Path, filename: str)#: Load data stored in a npz file.

static load_params(path: Path, filename: str)#: Load parameters stored in a json file.

property params: dict#: Convert non-arrays attributes into dict.

save(path: Path)#: Store results to file.

qibocal.protocols.two_qubit_interaction.chevron.chevron.ChevronType = dtype([('amp', '<f8'), ('length', '<f8'), ('prob_high', '<f8'), ('prob_low', '<f8')])#: Custom dtype for Chevron.

class qibocal.protocols.two_qubit_interaction.chevron.chevron.ChevronData(native_amplitude: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], float] = <factory>, native: str = 'CZ', sweetspot: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], float] = <factory>, data: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], numpy.ndarray[typing.Any, numpy.dtype[dtype([('amp', '<f8'), ('length', '<f8'), ('prob_high', '<f8'), ('prob_low', '<f8')])]]] = <factory>)[source]#

Bases: Data

Chevron acquisition outputs.

_to_json(path: Path, filename: str)#: Helper function to dump to json.

_to_npz(path: Path, filename: str)#: Helper function to use np.savez while converting keys into strings.

static load_data(path: Path, filename: str)#: Load data stored in a npz file.

static load_params(path: Path, filename: str)#: Load parameters stored in a json file.

property pairs#: Access qubit pairs ordered alphanumerically from data structure.

property params: dict#: Convert non-arrays attributes into dict.

property qubits#: Access qubits from data structure.

save(path: Path)#: Store data to file.

native_amplitude: dict[Tuple[Union[str, int], Union[str, int]], float]#: CZ platform amplitude for qubit pair.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

sweetspot: dict[Tuple[Union[str, int], Union[str, int]], float]#: Sweetspot value for high frequency qubit.

data: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], numpy.ndarray[typing.Any, numpy.dtype[dtype([('amp', '<f8'), ('length', '<f8'), ('prob_high', '<f8'), ('prob_low', '<f8')])]]]#

register_qubit(low_qubit, high_qubit, length, amp, prob_low, prob_high)[source]#: Store output for single qubit.

amplitudes(pair)[source]#: Unique pair amplitudes.

durations(pair)[source]#: Unique pair durations.

low_frequency(pair)[source]#

high_frequency(pair)[source]#

qibocal.protocols.two_qubit_interaction.chevron.chevron._aquisition(params: ChevronParameters, platform: Platform, targets: list[Tuple[Union[str, int], Union[str, int]]]) → ChevronData[source]#

Perform an CZ experiment between pairs of qubits by changing its frequency.

Parameters:

platform – Platform to use.
params – Experiment parameters.
targets (list) – List of pairs to use sequentially.

Returns:

Acquisition data.

Return type:

ChevronData

qibocal.protocols.two_qubit_interaction.chevron.chevron._fit(data: ChevronData) → ChevronResults[source]#

qibocal.protocols.two_qubit_interaction.chevron.chevron._plot(data: ChevronData, fit: ChevronResults, target: Tuple[Union[str, int], Union[str, int]])[source]#: Plot the experiment result for a single pair.

qibocal.protocols.two_qubit_interaction.chevron.chevron._update(results: ChevronResults, platform: Platform, target: Tuple[Union[str, int], Union[str, int]])[source]#

qibocal.protocols.two_qubit_interaction.chevron.chevron.chevron = Routine(acquisition=<function _aquisition>, fit=<function _fit>, report=<function _plot>, update=<function _update>, two_qubit_gates=True)#: Chevron routine.

qibocal.protocols.two_qubit_interaction.chevron.chevron_signal module#

SWAP experiment for two qubit gates, chevron plot.

class qibocal.protocols.two_qubit_interaction.chevron.chevron_signal.ChevronSignalParameters(amplitude_min_factor: float, amplitude_max_factor: float, amplitude_step_factor: float, duration_min: float, duration_max: float, duration_step: float, dt: Optional[int] = 0, parking: bool = True, native: str = 'CZ')[source]#

Bases: ChevronParameters

ChevronSignal runcard inputs.

property amplitude_range#

dt: Optional[int] = 0#: Time delay between flux pulses and readout.

property duration_range#

hardware_average: bool = False#: By default hardware average will be performed.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

parking: bool = True#: Wether to park non interacting qubits or not.

amplitude_min_factor: float#: Amplitude minimum.

amplitude_max_factor: float#: Amplitude maximum.

amplitude_step_factor: float#: Amplitude step.

duration_min: float#: Duration minimum.

duration_max: float#: Duration maximum.

duration_step: float#: Duration step.

nshots: int#: Number of executions on hardware.

relaxation_time: float#: Wait time for the qubit to decohere back to the gnd state.

class qibocal.protocols.two_qubit_interaction.chevron.chevron_signal.ChevronSignalResults(amplitude: dict[Tuple[Union[str, int], Union[str, int]], float], duration: dict[Tuple[Union[str, int], Union[str, int]], int], native: str = 'CZ')[source]#

Bases: ChevronResults

ChevronSignal outputs when fitting will be done.

_to_json(path: Path, filename: str)#: Helper function to dump to json.

_to_npz(path: Path, filename: str)#: Helper function to use np.savez while converting keys into strings.

static load_data(path: Path, filename: str)#: Load data stored in a npz file.

static load_params(path: Path, filename: str)#: Load parameters stored in a json file.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

property params: dict#: Convert non-arrays attributes into dict.

save(path: Path)#: Store results to file.

amplitude: dict[Tuple[Union[str, int], Union[str, int]], float]#: CZ angle.

duration: dict[Tuple[Union[str, int], Union[str, int]], int]#: Virtual Z phase correction.

qibocal.protocols.two_qubit_interaction.chevron.chevron_signal.ChevronSignalType = dtype([('amp', '<f8'), ('length', '<f8'), ('signal_high', '<f8'), ('signal_low', '<f8')])#: Custom dtype for Chevron.

class qibocal.protocols.two_qubit_interaction.chevron.chevron_signal.ChevronSignalData(native_amplitude: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], float] = <factory>, native: str = 'CZ', sweetspot: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], float] = <factory>, data: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], numpy.ndarray[typing.Any, numpy.dtype[dtype([('amp', '<f8'), ('length', '<f8'), ('signal_high', '<f8'), ('signal_low', '<f8')])]]] = <factory>)[source]#

Bases: ChevronData

Chevron acquisition outputs.

data: dict[typing.Tuple[typing.Union[str, int], typing.Union[str, int]], numpy.ndarray[typing.Any, numpy.dtype[dtype([('amp', '<f8'), ('length', '<f8'), ('signal_high', '<f8'), ('signal_low', '<f8')])]]]#

register_qubit(low_qubit, high_qubit, length, amp, signal_low, signal_high)[source]#: Store output for single qubit.

low_frequency(pair)[source]#

high_frequency(pair)[source]#

_to_json(path: Path, filename: str)#: Helper function to dump to json.

_to_npz(path: Path, filename: str)#: Helper function to use np.savez while converting keys into strings.

amplitudes(pair)#: Unique pair amplitudes.

durations(pair)#: Unique pair durations.

static load_data(path: Path, filename: str)#: Load data stored in a npz file.

static load_params(path: Path, filename: str)#: Load parameters stored in a json file.

native: str = 'CZ'#

Two qubit interaction to be calibrated.

iSWAP and CZ are the possible options.

property pairs#: Access qubit pairs ordered alphanumerically from data structure.

property params: dict#: Convert non-arrays attributes into dict.

property qubits#: Access qubits from data structure.

save(path: Path)#: Store data to file.

native_amplitude: dict[Tuple[Union[str, int], Union[str, int]], float]#: CZ platform amplitude for qubit pair.

sweetspot: dict[Tuple[Union[str, int], Union[str, int]], float]#: Sweetspot value for high frequency qubit.

qibocal.protocols.two_qubit_interaction.chevron.chevron_signal._aquisition(params: ChevronSignalParameters, platform: Platform, targets: list[Tuple[Union[str, int], Union[str, int]]]) → ChevronSignalData[source]#

Perform an iSWAP/CZ experiment between pairs of qubits by changing its frequency.

Parameters:

params – Experiment parameters.
platform – Platform to use.
targets (list) – List of pairs to use sequentially.

Returns:

Acquisition data.

Return type:

ChevronData

qibocal.protocols.two_qubit_interaction.chevron.chevron_signal.chevron_signal = Routine(acquisition=<function _aquisition>, fit=<function _fit>, report=<function _plot>, update=<function _update>, two_qubit_gates=True)#: Chevron routine.

qibocal.protocols.two_qubit_interaction.chevron.utils module#

qibocal.protocols.two_qubit_interaction.chevron.utils.COUPLER_PULSE_START = 0#: Start of coupler pulse.

qibocal.protocols.two_qubit_interaction.chevron.utils.COUPLER_PULSE_DURATION = 100#: Duration of coupler pulse.

qibocal.protocols.two_qubit_interaction.chevron.utils.chevron_sequence(platform: Platform, pair: Tuple[Union[str, int], Union[str, int]], duration_max: int, parking: bool = False, native: str = 'CZ', dt: int = 0)[source]#: Chevron pulse sequence.

qibocal.protocols.two_qubit_interaction.chevron.utils.chevron_fit(x, omega, phase, amplitude, offset)[source]#