README.md

---
license: mit
configs:
- config_name: qubit-TransmonCross-cap_matrix
  data_files:
  - split: train
    path: "qubit-TransmonCross-cap_matrix.json"
- config_name: cavity_claw-RouteMeander-eigenmode
  data_files:
  - split: train
    path: "cavity_claw-RouteMeander-eigenmode.json"
- config_name: coupler-NCap-cap_matrix
  data_files:
  - split: train
    path: "coupler-NCap-cap_matrix.json"
- config_name: coupler-CapNInterdigitalTee-cap_matrix
  data_files:
  - split: train
    path: "coupler-CapNInterdigitalTee-cap_matrix.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.