Source code documentation

Quantum Application ToolChain (QAT) Python libraries

This software provides a full software stack to develop, analyze, optimize, adapt and debug quantum application for simulated and real quantum processors.

The target is to execute hybrid quantum application on hybrid quantum platform.

The full software stack is composed of the following packages:

The core library

The core library provides the basic classes and interfaces:

The programming library

The programming library provides tools to generate quantum circuits:

The device library

The device library provides generators of usual topologies and HardwareSpecs objects corresponding to the topologies of various super-conducting quantum processors:


Generators generates batches and parses results. Generators are designed to be piped to a computational stack (composed of Plugins and a QPU). This new stack will generate quantum jobs, execute them and will return a parsed result.

Available generators for solving combinatorial optimization problems:


Plugins are objects to manipulate quantum jobs (circuits, observables) prior to execution and post-process the results:


QPUs simulate the execution of quantum jobs with classical simulation methods:

Interoperability with other frameworks

Digital quantum simulation tools

Combinatorial optimization and QAOA