Qiskit Metal

Qiskit Metal is a quantum device design simulation tool that allows for the efficient design of superconducting based quantum devices. Pioneered by Dr. Zlatko Minev at IBM, Qiskit Metal has become the premier tool for designing novel superconducting devices.

Link: https://qiskit-community.github.io/qiskit-metal/

Download Guide:

Link: https://qiskit-community.github.io/qiskit-metal/installation.html

Resources:

Qiskit Metal Tutorials (Navigation on left sidebar of website): https://qiskit-community.github.io/qiskit-metal/tut/index.html

API Documentation: https://qiskit-community.github.io/qiskit-metal/overview.html

PyEPR

PyEPR is a Python library that facilitates the design of superconducting quantum circuits, primarily via the energy-participation ratio (EPR) approach. It can perform both analytic and numerical approaches.

Link: https://github.com/zlatko-minev/pyEPR/tree/master

Download Guide:

  1. Create a GitHub account, if you do not have one already

  2. Fork the PyEPR top-level repository from the above link

    1. Click “Fork” in the top-right

    2. Click “Create Fork”

  3. Navigate to your local fork of the PyEPR repository, click <> Code, and copy the HTTPS link

  4. Open Terminal. Navigate to where you would like the directory to be created. Type “git clone “ and then paste the HTTPS link. Press Enter.

    1. The command should be “git clone https://github.com/YOUR-USERNAME/pyEPR.git”

Resources:

  1. Jupyter notebook tutorials are available at https://github.com/zlatko-minev/pyEPR/tree/master/_tutorial_notebooks

  2. The documentation can be found at https://pyepr-docs.readthedocs.io/en/latest/index.html

pyEPR GitHub link
pyEPR documentation

Ansys HFSS

Ansys HFSS is an Electromagnetic Simulation Software designed for RF/Microwave design applications to find eigenmodes, S parameters, and fields of microwave circuits with finite element based solvers and the method of moments.

Link: https://www.ansys.com/products/electronics/ansys-hfss

Download Guide:

OS Requirements: Windows 10 OS

Hardware Requirements (from website):

  • CPU: Pentium® 4 2.0 GHZ or Athlon® 2000+ or faster, 64-bit (x64) processor

  • 8 GB RAM

  • 17 GB hard drive space

  • Graphics card and driver: Professional workstation class 3-D

  • OpenGL-capable

Installation Link (Student Version): https://www.ansys.com/academic/students/ansys-electronics-desktop-student

Resources:

  1. Ansys Innovation Space: https://innovationspace.ansys.com/product/intro-to-ansys-hfss/

  2. PyAEDT Scripting (Automate HFSS for efficient EDA): https://aedt.docs.pyansys.com/

  3. HFSS/PyAEDT User Made Youtube Tutorials: https://www.youtube.com/@howtosim7253

NVIDIA Cuda-Q

Resources

CUDA-Q streamlines hybrid application development and promotes productivity and scalability in quantum computing. It offers a unified programming model designed for a hybrid setting—that is, CPUs, GPUs, and QPUs working together. CUDA-Q contains support for programming in Python and in C++.

Resources:

Download Guide