Data and code for "Quasiparticle effects in magnetic-field-resilient 3D transmons"

<p>This folder contains all data files and Jupyter notebooks needed to recreate the figures of our publication,&nbsp;<br>"Quasiparticle effects in magnetic-field-resilient 3D transmons",<br>written by J. Krause, G. Marchegiani, L. M. Janssen, G. Catelani, Yoichi Ando, and C. Dickel</p> <p>Measurements were done with quantify-core (https://quantify-os.org/docs/quantify-core/)</p> <p>Required python packages are quantify-core (tested to run with version 0.7.4) and all its dependencies, as well as cmcrameri (colormaps used for plots).<br>Qutip is used for master equation solving and Hamiltonian modeling (used version 4.7.5) and hmmlearn (version 0.3.2) for fitting gaussian hidden-markov-models.<br>From a clean conda environment one should just install the above 4 packages and it should work.</p> <p>Content:<br>Data/&nbsp;<br>Contains the plotted measurement data used in the figures of the paper mostly in csv format.<br>The datasets are loaded and plotted in the respective notebooks for all figures.&nbsp;</p> <p>Data/quantify_datasets/<br>Contains a few quantify datasets (raw data format of quantify measurements)</p> <p>Data/20220710_parity_paper_device_afm/<br>Contains .tiff images and .txt files with AFM data of the device</p> <p>Figures/<br>Contains all paper figures as .pdf files</p> <p>Fits/transmon_spectrum_including_EJ_harmonics<br>Contains some auxiliary fit results so the fits of flux arcs do not have to be repeated.</p> <p>Fits/Gap_vs_Bpar<br>Contains numerical results for the superconducting gap Delta as a function of magnetic field for aluminum films of different thickness.<br>Used to check the cavity data and not used for other modeling.<br>Imported in Jupyter_notebooks/models_transmon_spectrum_including_higher_harmonics.py</p> <p>Jupyter_notebooks/<br>Contains the jupyter notebooks with the code that creates the figures including the relevant calculations and fits and the loading of the data.<br>The notebook name gives the figure(s) it creates.<br>There are several auxiliary .py files and two notebooks that do not make paper figures:</p> <p>Jupyter_notebooks/fit_params.py<br>Contains the fit parameters for the quasiparticle modeling and the transmon spectrum</p> <p>Jupyter_notebooks/models_qp_dynamics.py<br>Contains the functions for quasiparticle modeling vs field and temperature.</p> <p>Jupyter_notebooks/models_transmon_spectrum_including_higher_harmonics.py<br>Contains the models for the field dependent spectrum</p> <p>Jupyter_notebooks/models_cavity_transmon_interaction.py<br>Contains qutip model for the fitting of the transmon-cavity Hamiltonian to estimate the bare-dressed changes.</p> <p>Jupyter_notebooks/fit_quasiparticle_model.ipynb<br>Notebook that shows how the quasiparticle model can be fit to the data<br>Takes a bit longer to execute</p> <p>Jupyter_notebooks/fit_cavity_transmon_interaction.ipynb<br>Looks at a resonator-transmon model to understand the bare-dressed difference and estimate the coupling.<br>Not really used in the paper, except to estimate G.&nbsp;</p>