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.
The documentation for sequencing is available at:
sequencing.readthedocs.io
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.
The documentation includes a set of tutorial notebooks. Click the badge below to run the notebooks interactively online using binder:
Primary author and maintainer: @loganbvh.
Want to contribute to sequencing? Check out our contribution guidelines.
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:
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.
