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