| Title |
Comparative Analysis of Quantum Computing Performance Analysis Methods |
| Authors |
이두원(Duwon Lee) ; 최병수(Byung-Soo Choi) |
| DOI |
https://doi.org/10.5573/ieie.2024.61.3.78 |
| Keywords |
Quantum computing performance; Quantum computing analysis tools; Performance evaluation techniques; Full-stack quantum computing system |
| Abstract |
Quantum computing involves the use of quantum mechanical properties in computing. Research and development in this field are divided into utilization technology and implementation technology, with numerous proposals for both. Various implementation technologies have been proposed, but to overcome the limitations of bit computing, several technical issues must be resolved. Therefore, it is crucial to analyze the functional and performance requirements of all components that affect the performance of quantum computing clearly. As a result, there has been significant interest in the research of quantum computing performance evaluation technology. Several quantum computing performance evaluation technologies have been developed, but their limitations have been identified in that they primarily address only some components, analyze only few performance-metric of quantum computing, and restrict the level of analysis. Therefore, it is crucial to systematically compare and analyze quantum computing performance evaluation technologies. To resolve this issue, we propose a comparative method which is based on the quantum computing full stack structure as a new methodological perspective. We then use it to compare systematically various quantum computing performance evaluation technologies using quantitative indicators for computation time, analysis time, coverage of layers, convenience, etc. This study concludes that performance evaluation technology for quantum computing has not fully analyzed the overall quantum computing full-stack structure yet. We also list that there are various technical issues with respect to analysis technology. The study provides insight into the future direction of research and development that should be pursued. |