qibocal.protocols.two_qubit_interaction package#

Subpackages#

Submodules#

qibocal.protocols.two_qubit_interaction.optimize module#

virtual correction experiment for two qubit gates, tune landscape.

qibocal.protocols.two_qubit_interaction.optimize.optimize_two_qubit_gate = Routine(acquisition=<function _acquisition>, fit=<function _fit>, report=<function _plot>, update=<function _update>, two_qubit_gates=True)#

Optimize two qubit gate protocol

qibocal.protocols.two_qubit_interaction.utils module#

qibocal.protocols.two_qubit_interaction.utils.order_pair(pair: tuple[Union[int, str], Union[int, str]], platform: Platform) tuple[Union[int, str], Union[int, str]][source]#

Order a pair of qubits by drive frequency.

qibocal.protocols.two_qubit_interaction.utils.fit_flux_amplitude(matrix, amps, times)[source]#

Estimate amplitude for CZ gate.

Given the pattern of a chevron plot (see for example Fig. 2 here https://arxiv.org/pdf/1907.04818.pdf). This function estimates the CZ amplitude by finding the amplitude which gives the standard deviation, indicating that there are oscillation along the z axis.

Parameters:
  • matrix (np.ndarray) – signal matrix

  • amps (np.ndarray) – amplitudes swept

  • times (np.ndarray) – duration swept

Returns:

estimated amplitude index (int): amplitude index delta (float): omega for estimated amplitude

Return type:

amplitude (float)

qibocal.protocols.two_qubit_interaction.virtual_z_phases module#

CZ virtual correction experiment for two qubit gates, tune landscape.

qibocal.protocols.two_qubit_interaction.virtual_z_phases.correct_virtual_z_phases = Routine(acquisition=<function _acquisition>, fit=<function _fit>, report=<function _plot>, update=<function _update>, two_qubit_gates=True)#

Virtual phases correction protocol.

qibocal.protocols.two_qubit_interaction.virtual_z_phases.create_sequence(platform: CalibrationPlatform, setup: Literal['I', 'X'], target_qubit: Union[int, str], control_qubit: Union[int, str], ordered_pair: list[Union[int, str], Union[int, str]], native: Literal['CZ', 'iSWAP'], dt: float, flux_pulse_max_duration: float = None, gate_repetition: int = 1) tuple[qibolab._core.sequence.PulseSequence, qibolab._core.pulses.pulse.Pulse, list[qibolab._core.pulses.pulse.Pulse]][source]#

Create the pulse sequence for the calibration of two-qubit gate virtual phases.

This function constructs a pulse sequence for a given two-qubit native gate native (CZ or iSWAP) on the specified qubits. The sequence includes: - A preliminary RX90 pulse on the target_qubit. - An optional X pulse on the control_qubit based on the setup type. - A flux pulse implementing the two-qubit native gate. - A delay of duration dt before the final X90 pulse on the target qubit. - Measurement pulses. It is possible to specify the maximum duration for the flux pulses with the flux_pulse_max_duration parameter.

The function returns:
  • The full experiment pulse sequence.

  • The applied flux pulse.

  • The final VirtualZPhase pulses to be used for phase sweeping.

qibocal.protocols.two_qubit_interaction.virtual_z_phases.fit_sinusoid(thetas, data, gate_repetition)[source]#

Fit sinusoid to the given data.

qibocal.protocols.two_qubit_interaction.virtual_z_phases.phase_diff(phase_1, phase_2)[source]#

Return the phase difference of two sinusoids, normalized in the range [0, 2*pi].