- author = "Felix Gemeinhardt and Stefan Klikovits and Manuel Wimmer",
- title = "GeQuPI: Quantum Program Improvement with Multi-Objective Genetic Programming",
- journal = "Journal of Systems and Software",
- year = "2025",
- volume = "219",
- pages = "112223",
- month = "Jany",
- keywords = "genetic algorithms, genetic programming, MOGP, Quantum computing, Evolutionary algorithms, Quantum software engineering, Quantum circuit optimization",
- ISSN = "0164-1212",
-
URL = "
https://www.sciencedirect.com/science/article/pii/S016412122400267X",
-
DOI = "
doi:10.1016/j.jss.2024.112223",
- size = "31 pages",
-
abstract = "...Manually finding sufficiently accurate and
efficient solutions is a challenging task, even for
quantum computing experts.
To tackle these challenges, we propose a quantum program improvement framework for an automated generation of accurate and efficient solutions, coined Genetic Quantum Program Improver (GeQuPI). In particular, we focus on the tasks of debugging and optimization of quantum programs. Our framework uses techniques from quantum information theory and applies multi-objective genetic programming, which can be further hybridized with quantum-aware optimizers. To demonstrate the benefits of GeQuPI, it is applied to 47 quantum programs reused from literature and openly published libraries. The results show that our approach is capable of correcting faulty programs and optimize inefficient ones for the majority of the studied cases, showing average optimizations of 35 percent with respect to computational cost.",
- notes = "also known as \cite{GEMEINHARDT2025112223}",
