Tunable Capacitor For Superconducting Qubits Using an InAs/InGaAs Heterostructure

Installation with Anaconda

• Install Anaconda here with version 3.8 or higher
• Create a new environment tcap with the requirements.txt

conda create --name tcap --file requirements.txt
conda activate tcap

Running example Python code

• Run the code to generate the figures in the main text of arXiv:2212.04598

python test/generate_all_figures.py

Directories

• src/ Python source code to post-process COMSOL & HFSS data
• test/ Python drivers on the source code produce figures in the paper
• figs/ Figures produced by the test/ code
• data/ Data used in the test/ code from COMSOL & HFSS

Running COMSOL files

• Install COMSOL version 6.1 or higher with the Semiconductor and AC/DC modules to run the following files
• To compute the charge concentrations and Y matrices, open src/single_small_gate_2deg_inalas_semi_ec.mph with COMSOL
  • The simulation starts by running the first equilibrium study
  • This study sets the initial conditions for the subsequent frequency sweep
  • The Y matrix evaluation group contains the Y vs. frequency data at various dc bias points
  • It takes about 7 minutes on my workstation to run this calculation, it may take more or less time to run on your system
  • Run Evaluate on the Global Evaluation labeled Admittance Matrix to update the data before exporting the Y matrix to file
  • To export the Y matrix data and the charge concentrations, use the Export tab at the bottom of the left-hand-side column
  • After exporting the data, the i entries in the file data/ymatrix_vgall*.txt need to be changed to j and Inf replaced with nan to comply with the file parser
• To compute the participations, the file src/semi_2deg_.mph performs the integrals for the values in Table 2 of the manuscript

Running the HFSS files

• Run the python script src/chi_matrix_extract_tcap.py from src/

cd src
python chi_matrix_extract_tcap.py

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