EF characterization workflow¶

This notebook switches to ge-ef-cr mode and walks through the core |e> to |f> calibration steps: prepare the ge pulses, obtain EF Rabi data, refine the EF drive frequency, and calibrate an EF half-pi pulse.

1. Create an Experiment in ge-ef-cr mode¶

ge-ef-cr assigns control channels in the order ge, ef, and cr. Use this mode when you need direct EF control in the same session. If the active AWG profile leaves a control port with only one channel, that port resolves to ge only, so you cannot drive EF on that qubit.

In [ ]:

import numpy as np

import qubex as qx

exp = qx.Experiment(
    system_id="YOUR_SYSTEM_ID",
    muxes=[0],
    configuration_mode="ge-ef-cr",
    # config_dir="/path/to/qubex-config/config",
    # params_dir="/path/to/qubex-config/params/YOUR_SYSTEM_ID",
)

import numpy as np import qubex as qx exp = qx.Experiment( system_id="YOUR_SYSTEM_ID", muxes=[0], configuration_mode="ge-ef-cr", # config_dir="/path/to/qubex-config/config", # params_dir="/path/to/qubex-config/params/YOUR_SYSTEM_ID", )

In [ ]:

Q0 = exp.qubit_labels[0]

print("target qubit:", Q0)

Q0 = exp.qubit_labels[0] print("target qubit:", Q0)

2. Connect to the setup¶

Connect before you run any checks or EF calibrations.

In [ ]:

exp.connect()

exp.connect()

3. Configure the ge-ef-cr layout¶

After connect(), call configure() so the control hardware applies the ge-ef-cr channel layout before you run waveform checks or EF calibrations.

[!CAUTION] configure() changes the state of the control instruments. On shared systems, it can affect other users who are using the same hardware. Also, if a control port has only one AWG channel, that port stays ge-only and EF drive is not available there.

In [ ]:

exp.configure()

exp.configure()

4. Check the waveform¶

Begin with a waveform check so readout issues do not get confused with EF-drive problems.

In [ ]:

waveform_result = exp.check_waveform()

waveform_result = exp.check_waveform()

5. Prepare the ge pulse set¶

Measure a baseline Rabi oscillation, calibrate the half-pi pulse, and save the result before moving to EF work.

In [ ]:

rabi_result = exp.obtain_rabi_params()
hpi_result = exp.calibrate_hpi_pulse()
exp.calib_note.save()

rabi_result = exp.obtain_rabi_params() hpi_result = exp.calibrate_hpi_pulse() exp.calib_note.save()

6. Measure the EF Rabi oscillation¶

Use an EF Rabi scan to locate a usable EF drive setting before the frequency calibration.

In [ ]:

ef_rabi_result = exp.obtain_ef_rabi_params(
    Q0,
    time_range=np.arange(0, 201, 4),
    n_shots=1024,
)

ef_rabi_result = exp.obtain_ef_rabi_params( Q0, time_range=np.arange(0, 201, 4), n_shots=1024, )

7. Calibrate the EF control frequency¶

Run the EF frequency calibration over a relatively narrow detuning window.

In [ ]:

ef_frequency_result = exp.calibrate_ef_control_frequency(
    Q0,
    detuning_range=np.linspace(-0.02, 0.02, 41),
    time_range=np.arange(0, 101, 4),
)

ef_frequency_result = exp.calibrate_ef_control_frequency( Q0, detuning_range=np.linspace(-0.02, 0.02, 41), time_range=np.arange(0, 101, 4), )

8. Update the anharmonicity and reload¶

Write the fitted anharmonicity to the parameter file, then reload before you re-check the EF Rabi scan.

In [ ]:

# Update the fitted anharmonicity manually, then reload
exp.reload()

# Update the fitted anharmonicity manually, then reload exp.reload()

9. Re-check the EF Rabi oscillation¶

Run the EF Rabi measurement again to confirm that the updated frequency improved the response.

In [ ]:

ef_rabi_after_frequency = exp.obtain_ef_rabi_params(
    Q0,
    time_range=np.arange(0, 201, 4),
    n_shots=1024,
)

ef_rabi_after_frequency = exp.obtain_ef_rabi_params( Q0, time_range=np.arange(0, 201, 4), n_shots=1024, )

10. Calibrate the EF half-pi pulse¶

With the EF frequency in place, calibrate the EF half-pi pulse.

In [ ]:

ef_hpi_result = exp.calibrate_ef_hpi_pulse(
    Q0,
    n_rotations=1,
)

ef_hpi_result = exp.calibrate_ef_hpi_pulse( Q0, n_rotations=1, )

11. Save the calibration note¶

Save the updated note so later EF workflows start from the calibrated parameters.

In [ ]:

exp.calib_note.save()

exp.calib_note.save()