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Quantum Computing Toolkit for Qubit Control

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qc-toolkit: Quantum Computing Toolkit

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The qc-toolkit project aims to produce a software toolkit facilitating experiments involving pulse driven state manipulation of physical qubits. It will provide a hardware independent object representation of pulses and pulse templates as well as means to translate this representation to hardware instructions, execute these instructions and perform corresponding measurements. Pulses may be as complex as specifying conditional branching/looping and the object representation features easy reuse of previously defined pulse templates.

Status

Note that the project is in early development and thus neither feature-complete nor necessarily bug free. Additionally, interfaces and design decisions are subject to change.

Installation

qc-toolkit is developed using Python 3.5 but should also run on previous 3.3+ versions.

The package is installed with:

python3 setup.py install

The backend for TaborAWGs requires packages that can be found here.

The data acquisition backend for AlazarTech cards needs a package that unfortunately is not open source (yet). If you need it or have questions contact [email protected].

The optional script tests/utils/syntax_check.py invokes pyflakes to perform a static code analysis, so pyflakes should be installed if its usage is intended.

Documentation

You can find documentation on how to use this library on readthedocs and IPython notebooks with examples in this repo

Folder Structure

The repository primarily consists of the folders qctoolkit and tests.

qctoolkit contains the entire source code of the project and is further partitioned into packages of related modules (i.e. a package folder pulses which contains all modules related to pulse representation and translation).

Contents of tests mirror the structure of qctoolkit. For every <module> somewhere in qctoolkit there should exist a <module>Tests.py in the corresponding subdirectory of tests.

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  • Python 79.7%
  • Jupyter Notebook 12.7%
  • MATLAB 7.6%