README.md

metadata

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
  - config_name: experimental-master-device_attributes
    data_files:
      - split: train
        path: experimental-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

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/
• Repository: https://github.com/lfl-lab/SQuADDS
• Paper: https://arxiv.org/pdf/2312.13483.pdf
• Point of Contact: Sadman Ahmed Shanto

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

    @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}
    }

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Licensing Information

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