Abstract
To tackle the challenge of debugging and optimizing quantum programs, we propose the Genetic Quantum Program Improver (GeQuPI), a framework for the automated improvement of the accuracy and efficiency of quantum circuits. Our framework uses techniques from quantum information theory and applies multi-objective genetic programming, which can be further hybridized with quantum-aware optimizers. To evaluate GeQuPI, it is applied to 47 quantum programs reused from literature and publicly available libraries. The results of the evaluation demonstrate that GeQuPI is capable of correcting faulty programs and optimizing inefficient ones for a large share of the studied programs, showing an average improvement of efficiency of 35%.
| Original language | English |
|---|---|
| Title of host publication | Software Engineering 2025 Companion Proceedings, Fachtagung des GI-Fachbereichs Softwaretechnik, Karlsruhe, Germany, February 24-28, 2025 |
| Number of pages | 2 |
| DOIs | |
| Publication status | Published - 24 Feb 2025 |
Fields of science
- 102020 Medical informatics
- 102022 Software development
- 102006 Computer supported cooperative work (CSCW)
- 102027 Web engineering
- 502050 Business informatics
- 102040 Quantum computing
- 102016 IT security
- 503015 Subject didactics of technical sciences
- 509026 Digitalisation research
- 102015 Information systems
- 102034 Cyber-physical systems
- 502032 Quality management
JKU Focus areas
- Digital Transformation