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Calibrations

This guide covers the calibration procedures and experiments available in LeeQ.

Overview

Calibration is a crucial step in quantum computing experiments. LeeQ provides a comprehensive set of calibration experiments to characterize and optimize qubit performance.

Available Calibrations

Rabi Experiments

  • Purpose: Determine optimal drive parameters
  • Module: leeq.experiments.builtin.basic.calibrations.rabi
  • Key Parameters: Drive amplitude, frequency

Ramsey Experiments

  • Purpose: Measure dephasing time and fine-tune frequencies
  • Module: leeq.experiments.builtin.basic.calibrations.ramsey
  • Key Parameters: Evolution time, detuning

T1 Measurements

  • Purpose: Measure relaxation time
  • Module: leeq.experiments.builtin.basic.characterizations.t1
  • Key Parameters: Delay time range

Running Calibrations

import leeq

# Example: Rabi calibration
rabi_exp = leeq.experiments.RabiExperiment(
    qubit=my_qubit,
    drive_amplitude_range=(0, 1),
    num_points=50
)

result = rabi_exp.run()
optimal_amplitude = result.fit_result.optimal_amplitude

Best Practices

  1. Regular Calibration: Run calibrations periodically as system parameters drift
  2. Parameter Ranges: Use appropriate ranges based on previous calibrations
  3. Fitting: Always verify fit quality before using calibration results
  4. Documentation: Log calibration results for tracking system performance