scqubits.Fluxonium.plot_t1_effective_vs_paramvals

Fluxonium.plot_t1_effective_vs_paramvals(param_name, param_vals, noise_channels=None, common_noise_options=None, spectrum_data=None, get_rate=False, scale=1, num_cpus=None, **kwargs)

Plot effective \(T_1\) coherence time (rate) as a function of changing parameter.

The effective \(T_1\) is calculated by considering a variety of depolarizing noise channels, according to the formula:

\[\frac{1}{T_{1}^{\rm eff}} = \frac{1}{2} \sum_k \frac{1}{T_{1}^{k}}\]

where \(k\) runs over the channels that can contribute to the effective noise. By default all the depolarizing noise channels given by the method effective_noise_channels are included.

For example, assuming qubit is a qubit object with flux being one of its parameters, one can see how the effective \(T_1\) varies as the flux changes:

qubit.plot_t1_effective_vs_paramvals(param_name='flux',
                                     param_vals=np.linspace(-0.5, 0.5, 100),
                                    );
Parameters:

  • param_name (str) – name of parameter to be varied

  • param_vals (ndarray) – parameter values to be plugged in

  • noise_channels (Union[str, List[str], List[Tuple[str, Dict]]]) – channels to be plotted, if None then noise channels given by supported_noise_channels are used

  • common_noise_options (Dict) – common options used when calculating coherence times

  • spectrum_data (SpectrumData) – spectral data used during noise calculations

  • get_rate (bool) – determines if rate or time should be plotted

  • scale (float) – a number that all data is multiplied by before being plotted

  • num_cpus (Optional[int]) – number of cores to be used for computation

Return type:

Figure, Axes