Generation of Classical-Quantum Code from UML models

Quantum computing has gained a lot of interest in recent years, thanks to its ability to solve certain problems that classical computing cannot address. These applications will only be achieved through the development of quantum software. Thus, many organizations are starting projects to integrate this new software into their existing systems. Software modernization (as based on Model-Driven Engineering) can be used to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, reverse engineering and restructuring phases have already been addressed, but the forward engineering phase for hybrid software has not yet been addressed. This paper presents a preliminary code generation technique from extended UML design models. It proposes an EGL transformation to generate Python and Qiskit code by integrating classical and quantum code. The transformation has been preliminarily validated with an example of application with the design model of a hybrid system for a financial web application. The implication of this work is that the software modernization process for hybrid software systems is completed, which facilitates the adoption of this new paradigm in the industry.