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QuTiP

Quantum Toolbox in Python

QuTiP is open-source software for simulating the dynamics of open quantum systems. The QuTiP library depends on the excellent Numpy, Scipy, and Cython numerical packages. In addition, graphical output is provided by Matplotlib. QuTiP aims to provide user-friendly and efficient numerical simulations of a wide variety of Hamiltonians, including those with arbitrary time-dependence, commonly found in a wide range of physics applications such as quantum optics, trapped ions, superconducting circuits, and quantum nanomechanical resonators. QuTiP is freely available for use and/or modification on all major platforms such as Linux, Mac OSX, and Windows*. Being free of any licensing fees, QuTiP is ideal for exploring quantum mechanics and dynamics in the classroom.

*QuTiP is developed on Unix platforms only, and some features may not be available under Windows.

From the classroom to the corporate office, QuTiP is used around the world to advance research in quantum optics, quantum information, quantum open systems, optomechanics, and many related fields. QuTiP is in use at nearly every single research university around the globe, government-funded research labs, and is relied upon by every major corporation focused on developing a quantum computer.

QuTiP is already being used at a variety of institutions around the globe, and has been downloaded more than a million times since its initial release. Need help in simulating a tricky problem? Our large community of users are gracious enough to take a moment of their time and help in tackling even the most esoteric of issues.

Distribution of the 39,420 Unique Visitors in 2020

Supporting Organizations

Developers from Nori's lab and Blais' lab have been actively contributing QuTiP.


QuTiP is currently supported by these organizations:


QuTiP is proud to be affiliated to:


The development of QuTiP was partially supported by the following organizations:


We also thank Google for their support through the Google Summer of Code program.

Latest release

January 30, 2024
4.7.5 - conda and pip (recommended) tar.gz, zip, docs (pdf)

Development version
5.0.0.dev - download

Development
Affiliated to