Superconducting Qubit And Device Design and Simulation Database

:warning: This project is an alpha release and currently under active development. Some features and documentation may be incomplete. Please update to the latest release.

The SQuADDS (Superconducting Qubit And Device Design and Simulation) Database Project is an open-source resource aimed at advancing research in superconducting quantum device designs. It provides a robust workflow for generating and simulating superconducting quantum device designs, facilitating the accurate prediction of Hamiltonian parameters across a wide range of design geometries.

Paper Link: SQuADDS: A Database for Superconducting Quantum Device Design and Simulation

Docsite Link: https://lfl-lab.github.io/SQuADDS/

Hugging Face Link: https://huggingface.co/datasets/SQuADDS/SQuADDS_DB

Table of Contents

• Citation
• Installation
  • Install using pip
  • Install from GitHub
  • Run using Docker
• Tutorials
• Contributing
• License
• FAQs
• Contact
• Contributors
• Developers

Citation

If you use SQuADDS in your research, please cite the following paper:

@article{Shanto2024squaddsvalidated,
  doi = {10.22331/q-2024-09-09-1465},
  url = {https://doi.org/10.22331/q-2024-09-09-1465},
  title = {{SQ}u{ADDS}: {A} validated design database and simulation workflow for superconducting qubit design},
  author = {Shanto, Sadman and Kuo, Andre and Miyamoto, Clark and Zhang, Haimeng and Maurya, Vivek and Vlachos, Evangelos and Hecht, Malida and Shum, Chung Wa and Levenson-Falk, Eli},
  journal = {{Quantum}},
  issn = {2521-327X},
  publisher = {{Verein zur F{\"{o}}rderung des Open Access Publizierens in den Quantenwissenschaften}},
  volume = {8},
  pages = {1465},
  month = sep,
  year = {2024}
}

Installation:

Install using pip:

pip install SQuADDS

Install from source:

1. Clone Repository: Navigate to your chosen directory and clone the repository.

cd <REPO-PATH>
git clone https://github.com/LFL-Lab/SQuADDS.git

2. Install Dependencies: Activate a clean conda environment (with qiskit-metal) and install dependencies.

conda activate <YOUR-ENV>
cd SQuADDS
pip install -r requirements.txt
pip install -e .

Install on a fresh Mac/Linux system:

Read more on here

Run using Docker:

docker pull ghcr.io/lfl-lab/squadds_env:latest

docker pull ghcr.io/lfl-lab/squadds_env:v0.3.4

docker run -it ghcr.io/lfl-lab/squadds_env:latest /bin/bash

conda activate squadds-env

Tutorials

The following tutorials are available to help you get started with SQuADDS:

• Tutorial 1: Getting Started with SQuADDS
• Tutorial 2: Simulating Interpolated Designs
• Tutorial 3: Contributing Experimentally-Validated Simulation Data to the SQuADDS Database
• Tutorial 4: Contributing Measured Devices' Data to the SQuADDS Database
• Tutorial 5: Designing a "fab-ready" chip with SQuADDS
• (COMING SOON) More tutorials

Contributing

We welcome contributions from the community! Here is our work wish list.

Please see our Contributing Guidelines for more information on how to get started and absolutely feel free to reach out to us if you have any questions.

License

This project is licensed under the MIT License - see the LICENSE file for details.

FAQs

Check out our FAQs for common questions and answers.

Contact

For inquiries or support, please contact Sadman Ahmed Shanto.

Contributors

Developers

• shanto268 - 311 contributions
• elizabethkunz - 17 contributions
• LFL-Lab - 3 contributions
• NxtGenLegend - 1 contributions
• ethanzhen7 - 1 contributions