Home

Awesome

seQuencing

seQuencing logo

sequencing is a Python package for simulating realistic quantum control sequences using QuTiP. Built for researchers and quantum engineers, sequencing provides an intuitive framework for constructing models of quantum systems composed of many modes and generating complex time-dependent control Hamiltonians for master equation simulations.

PyPI GitHub Workflow Status (branch) Documentation Status codecov GitHub DOI

Documentation

The documentation for sequencing is available at: sequencing.readthedocs.io

Installation

PyPI - Python Version

conda create -n <env-name> python=<3.7, 3.8, or 3.9>
conda activate <env-name>
pip install sequencing

sequencing requires python>=3.7 and is tested on 3.7, 3.8, and 3.9. For more details, see the documentation.

Tutorials

The documentation includes a set of tutorial notebooks. Click the badge below to run the notebooks interactively online using binder:

Binder

Authors

Primary author and maintainer: @loganbvh.

Contributing

Want to contribute to sequencing? Check out our contribution guidelines.

Acknowledging

If you used sequencing for work that was published in a journal article, preprint, blog post, etc., please cite/acknowledge the sequencing project using its DOI:

DOI

Uploading Examples

So that others may learn from and reproduce the results of your work, please consider uploading a demonstration of the simulations performed for your publication in the form of well-documented Jupyter notebooks or Python files to the sequencing-examples repository.