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Jupyter notebooks showing examples of using the scqubits library

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scqubits: superconducting qubits in Python

J. Koch, P. Groszkowski

(A few notebooks may not be fully updated to work with the latest version of scqubits - this is a known problem and will be fixed shortly)

This repository contains Jupyter notebooks showing examples of how to use the scqubits library.

You can access a live jupyter notebook version of the examples here: Binder

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.

Documentation

The documentation for scqubits is available at: https://scqubits.readthedocs.io

License

license

You are free to use this software, with or without modification, provided that the conditions listed in the LICENSE file are satisfied.

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