Awesome
seQuencing
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.
Documentation
The documentation for sequencing
is available at:
sequencing.readthedocs.io
Installation
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:
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:
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.