QuanUML: Towards A Modeling Language for Model-Driven Quantum Software Development

TL;DR

QuanUML is a novel modeling language extension for UML that incorporates quantum-specific elements, facilitating the design and visualization of quantum and hybrid quantum-classical systems in a structured, model-driven development approach.

Contribution

It introduces QuanUML, a new UML extension that models quantum computing concepts, enabling structured design and visualization of quantum algorithms and systems.

Findings

Successfully applied to quantum algorithms like Shor's Algorithm

Supports modeling of quantum and hybrid systems

Enhances quantum software development process

Abstract

This paper introduces QuanUML, an extension of the Unified Modeling Language (UML) tailored for quantum software systems. QuanUML integrates quantum-specific constructs, such as qubits and quantum gates, into the UML framework, enabling the modeling of both quantum and hybrid quantum-classical systems. We apply QuanUML to Efficient Long-Range Entanglement using Dynamic Circuits and Shor's Algorithm, demonstrating its utility in designing and visualizing quantum algorithms. Our approach supports model-driven development of quantum software and offers a structured framework for quantum software design. We also highlight its advantages over existing methods and discuss future improvements.