State and pulse tomography¶

This notebook compares standard and DRAG half-pi pulses using state tomography and pulse tomography. The same pattern also works for any waveform or PulseSchedule you want to reconstruct.

1. Create an Experiment¶

In [ ]:

import qubex as qx

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

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

2. Connect to the setup¶

Connect before you run any calibration or tomography routine.

In [ ]:

exp.connect()

exp.connect()

3. Check the waveform¶

Use a waveform check to confirm that the readout path looks healthy.

In [ ]:

waveform_result = exp.check_waveform()

waveform_result = exp.check_waveform()

4. Measure a baseline Rabi oscillation¶

The baseline Rabi result gives you a reference before you calibrate the pi pulses.

In [ ]:

rabi_result = exp.obtain_rabi_params()

rabi_result = exp.obtain_rabi_params()

5. Calibrate and save the pi pulses¶

Calibrate both the default and DRAG pi pulses, then save the calibration note.

In [ ]:

pi_result = exp.calibrate_pi_pulse()
drag_pi_result = exp.calibrate_drag_pi_pulse()
exp.calib_note.save()

pi_result = exp.calibrate_pi_pulse() drag_pi_result = exp.calibrate_drag_pi_pulse() exp.calib_note.save()

6. Repeat the calibrated pulses¶

Run repeated-sequence checks for the default and DRAG pi pulses before tomography.

In [ ]:

repeat_pi = exp.repeat_sequence(exp.pi_pulse)
repeat_drag_pi = exp.repeat_sequence(exp.drag_pi_pulse)

repeat_pi = exp.repeat_sequence(exp.pi_pulse) repeat_drag_pi = exp.repeat_sequence(exp.drag_pi_pulse)

7. Inspect the cached pulse waveforms¶

Plot the cached pi and DRAG pi pulses for the target qubit.

In [ ]:

Q0 = exp.qubit_labels[0]

print("target qubit:", Q0)

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

In [ ]:

pi_pulse = exp.pi_pulse[Q0]
pi_pulse.plot()

drag_pi_pulse = exp.drag_pi_pulse[Q0]
drag_pi_pulse.plot()

pi_pulse = exp.pi_pulse[Q0] pi_pulse.plot() drag_pi_pulse = exp.drag_pi_pulse[Q0] drag_pi_pulse.plot()

8. Run state tomography for the default pi pulse¶

Reconstruct the state prepared by the default pi pulse.

In [ ]:

state_default = exp.state_tomography(
    {
        Q0: exp.pi_pulse[Q0],
    }
)

state_default = exp.state_tomography( { Q0: exp.pi_pulse[Q0], } )

9. Run state tomography for the DRAG pi pulse¶

Repeat the same reconstruction for the DRAG pi pulse.

In [ ]:

state_drag = exp.state_tomography(
    {
        Q0: exp.drag_pi_pulse[Q0],
    }
)

state_drag = exp.state_tomography( { Q0: exp.drag_pi_pulse[Q0], } )

10. Run pulse tomography for the default pi pulse¶

Use pulse tomography to reconstruct the effective rotation of the default pi pulse.

In [ ]:

pulse_default = exp.pulse_tomography(
    {
        Q0: exp.pi_pulse[Q0],
    }
)

pulse_default = exp.pulse_tomography( { Q0: exp.pi_pulse[Q0], } )

11. Run pulse tomography for the DRAG pi pulse¶

Repeat the pulse-tomography measurement for the DRAG pi pulse.

In [ ]:

pulse_drag = exp.pulse_tomography(
    {
        Q0: exp.drag_pi_pulse[Q0],
    }
)

pulse_drag = exp.pulse_tomography( { Q0: exp.drag_pi_pulse[Q0], } )