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Our project introduces an open-source database of programmatically generated and experimentally validated superconducting quantum device designs, accessible through a user-friendly interface, significantly lowering the entry barrier for research in this field.

Project description

Alpha Version SQuADDS:

:warning: This project is an alpha release and currently under active development. Some features and documentation may be incomplete.

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 Website Link: SQuADDS

Table of Contents


Setup

Install using pip:

pip install SQuADDS

Install from source:

Prerequisites

Installation

  1. Clone the repository.
git clone
  1. Install the required packages.
pip install -r requirements.txt
  1. Run the setup script locally
pip install -e .

Features

  • Data-Driven Interpolation: Utilizes a comprehensive database for interpolating Hamiltonian parameters, ensuring high precision in predictions.
  • User-Specified Target Parameters: Allows users to define target parameters such as qubit anharmonicity, coupling strength, resonator linewidth, and frequency.
  • Experimental Validation: Includes experimentally measured data for enhancing the reliability and accuracy of the simulations.
  • Open-Source Collaboration: Encourages contributions from the community, expanding the database and refining the simulation models.

Tutorials

Contributing

Contributions are welcome! If you have improvements or additions to the database, please follow these steps:

  • Fork the repository.
  • Create a new branch for your feature.
  • Add your contributions.
  • Submit a pull request with a clear description of your changes.

License

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

Contact

For inquiries or support, please contact Sadman Ahmed Shanto.


Next Release:

  • More tutorials/examples/explanations on the website
  • Contribution via HuggingFace Hub API
  • More data points to existing configurations
  • Contribute data points to new configurations

Project details


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Source Distribution

SQuADDS-0.1.3.tar.gz (22.0 kB view hashes)

Uploaded Source

Built Distribution

SQuADDS-0.1.3-py3-none-any.whl (27.3 kB view hashes)

Uploaded Python 3

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