⚠️ 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
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}
}pip install SQuADDS- Clone Repository: Navigate to your chosen directory and clone the repository.
cd <REPO-PATH>
git clone https://github.com/LFL-Lab/SQuADDS.git- 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 .Read more on here
Click to expand/hide Docker instructions
We provide a pre-built Docker image that contains all dependencies, including Qiskit-Metal and the latest SQuADDS release.
You can pull the latest image of SQuADDS from GitHub Packages:
docker pull ghcr.io/lfl-lab/squadds_env:latestIf you'd like to pull a specific version (support begins from v0.3.4 onwards), use the following command:
docker pull ghcr.io/lfl-lab/squadds_env:v0.3.4You can find all available versions and tags for the squadds_env Docker image on LFL-Lab Packages.
After pulling the image, you can run the container using:
docker run -it ghcr.io/lfl-lab/squadds_env:latest /bin/bashThis will give you access to a bash shell inside the container.
Inside the container, activate the squadds-env environment:
conda activate squadds-envOnce the environment is active, you can run SQuADDS by executing your Python scripts or starting an interactive Python session.
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
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.
This project is licensed under the MIT License - see the LICENSE file for details.
Check out our FAQs for common questions and answers.
For inquiries or support, please contact Sadman Ahmed Shanto.
| Name | Institution | Contribution |
|---|---|---|
| Clark Miyamoto | New York University | Code contributor |
| Madison Howard | California Institute of Technology | Bug Hunter |
| Kaveh Pezeshki | Stanford University | Documentation contributor |
| Anne Whelan | US Navy | Documentation contributor |
| Jenny Huang | Columbia University | Documentation contributor |
| Connie Miao | Stanford University | Data Contributor |
| Malida Hecht | University of Southern California | Data contributor |
| Daria Kowsari, PhD | University of Southern California | Data contributor |
| Vivek Maurya | University of Southern California | Data contributor |
| Haimeng Zhang, PhD | IBM | Data contributor |
| Ethan Zheng | University of Southern California | Data contributor and Bug Hunter |
| Sara Sussman, PhD | Fermilab | Bug Hunter |
- shanto268 - 311 contributions
- elizabethkunz - 17 contributions
- LFL-Lab - 3 contributions
- NxtGenLegend - 1 contributions
- ethanzhen7 - 1 contributions