qflux is a package for running quantum dynamics calculations on quantum devices.
Project description
QFlux - A Quantum Computer Dynamics Package
This repository contains various protocols for performing quantum dynamics simulations with quantum devices. Each submodule contains object implementations for these protocols as demonstrated in a publication, as well as comprehensive tutorial notebooks designed to help users understand, implement and build upon various simulation techniques for studying quantum dynamics using quantum computer frameworks. Each tutorial is provided in Python, using Jupyter Notebooks to offer detailed explanations in both markdown and code comments.
Table of Contents
Getting Started
qflux can be installed via pip:
pip install qflux
To get started, one can simply select a notebook and execute them locally or in google collab. Necessary dependencies will be installed using pip.
If using uv through the commandline, use the following syntax to create and activate a virtual environment:
uv venv
source .venv/bin/activate
The necessary packages, including development, can be installed as follows:
uv pip install -e ".[dev]"
Documentation
Documentation for QFlux, illustrating its features and representative examples, is available at the following page:
Notebooks For Tutorial Manuscript
Contribution Guidelines
To contribute to the repository, follow the procedure outlined in the Contribution Guidelines markdown file.
Additional Repositories
This section includes additional repositories with functionality that has been integrated within QFlux.
| Spin Chain Tutorial Repository
Citation
Please cite the preprints of our work when using this code until the journal version becomes available.
Licensing
Each notebook or repository might have its own licensing. Please refer to the individual README files and notebooks within each directory for specific licensing information.
Acknowledgement
We acknowledge the financial support of the National Science Foundation under award number 2124511, CCI Phase I: NSF Center for Quantum Dynamics on Modular Quantum Devices (CQD-MQD).
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