SQUADDS_test_clone / README.md
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---
license: mit
configs:
- config_name: qubit-TransmonCross-cap_matrix
data_files: qubit-TransmonCross-cap_matrix.json
- config_name: cavity_claw-RouteMeander-eigenmode
data_files: cavity_claw-RouteMeander-eigenmode.json
- config_name: coupler-NCap-cap_matrix
data_files: coupler-NCap-cap_matrix.json
- config_name: coupler-CapNInterdigitalTee-cap_matrix
data_files: coupler-CapNInterdigitalTee-cap_matrix.json
- config_name: master_device-attributes
data_files: master_device-attributes.json
tags:
- quantum
- superconducting
- qiskit-metal
- qiskit
- ibm
- qubit
- transmon
- design
- device
- quantum-computing
- quantum-hardware
pretty_name: SQuADDS_DB
size_categories:
- 1K<n<10K
---
<center>
<img src="https://github.com/LFL-Lab/SQuADDS/blob/master/docs/_static/images/squadds_logo_dark_name.png?raw=true" width="80%" alt="SQuADDS Logo" /> <!-- This will stretch the logo to the full container width -->
</center>
# SQuADDS_DB - a Superconducting Qubit And Device Design and Simulation Database
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.
- **Homepage:** [https://lfl-lab.github.io/SQuADDS/](https://lfl-lab.github.io/SQuADDS/)
- **Repository:** [https://github.com/lfl-lab/SQuADDS](https://github.com/lfl-lab/SQuADDS)
- **Paper:** [https://arxiv.org/pdf/2312.13483.pdf](https://arxiv.org/pdf/2312.13483.pdf)
- **Point of Contact:** [Sadman Ahmed Shanto](mailto:[email protected])
If you use SQuADDS in your research, please cite the following paper:
```bibtex
@article{SQuADDS,
title={SQuADDS: A validated design database and simulation workflow for superconducting qubit design},
author={Sadman Ahmed Shanto, Andre Kuo, Clark Miyamoto, Haimeng Zhang, Vivek Maurya, Evangelos Vlachos, Malida Hecht, Chung Wa Shum and Eli Levenson-Falk},
journal={arXiv preprint arXiv: https://arxiv.org/pdf/2312.13483.pdf},
year={2023}
}
```
---
### Licensing Information
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.