Skip to main content

scqubits: superconducting qubits in Python

Project description

scqubits is an open-source Python library for simulating superconducting qubits. It is meant to give the user a convenient way to obtain energy spectra of common superconducting qubits, plot energy levels as a function of external parameters, calculate matrix elements etc. The library further provides an interface to QuTiP, making it easy to work with composite Hilbert spaces consisting of coupled superconducting qubits and harmonic modes. Internally, numerics within scqubits is carried out with the help of Numpy and Scipy; plotting capabilities rely on Matplotlib.

If scqubits is helpful to you in your research, please support its continued development and maintenance. Use of scqubits in research publications is appropriately acknowledged by citing:

Peter Groszkowski and Jens Koch, ‘scqubits: a Python package for superconducting qubits’, Quantum 5, 583 (2021). https://quantum-journal.org/papers/q-2021-11-17-583/

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

scqubits-4.1.0.tar.gz (6.5 MB view hashes)

Uploaded Source

Built Distribution

scqubits-4.1.0-py3-none-any.whl (6.5 MB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page