Installation¶

Installing via conda¶

For Python 3.6, 3.7 and 3.8, installation via conda is supported.

conda install -c conda-forge scqubits

scqubits can also be installed using the Python package manager pip.

pip install scqubits

scqubits depends on the following Python open-source libraries:

Package	Version	Details
Python	3.6+	Version 3.6 and higher is supported.
NumPy	1.14.2+	Not tested on lower versions.
SciPy	1.1.0+	Not tested on lower versions.
Matplotlib	3.0.0+	Some plotting does not work on lower versions.
QuTiP	4.3+	Needed for composite Hilbert spaces.
Cython	0.28.5+	Required by QuTiP
tqdm	4.0+	Needed for display of progress bar

The following packages are optional:

Package	Version	Details
ipywidgets	7.5+	For use of the interactive explorer
h5py	2.10+	Needed for writing data to h5 file
pytest	5.3+	For running the test suite.
matplotlib-label-lines	0.3.6+	For smart labelling of matrix element plots

scqubits includes a set of tests that can be executed to verify that installation was successful:

import scqubits.testing as sctest
sctest.run()

This requires the pytest package.