AHP-Based Approach in Quantum Computing Difficulties in the Software Sector

Abstract

The development of quantum computers, which leverage quantum effects, has faced significant challenges, hindering technological progress due to a lack of clarity on how to harness these phenomena to improve computing performance. It wasn't until Peter Shor made a groundbreaking announcement in 1994, introducing a polynomial-time quantum algorithm for integer factorization, that the field of quantum computing gained momentum. Shor's factorization method utilizes this innovative concept, while Grover's search algorithm employs a technique that modifies the quantum state to increase the probability of obtaining the desired output. This study provides comprehensive explanations of quantum parallelism and strategies for its application. The objective of the research was to identify and evaluate the challenges within the software sector using a fuzzy analytic hierarchy process (F-AHP).

A thorough analysis was conducted to explore the obstacles associated with quantum computing. In line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we executed a systematic literature review (SLR) to present our findings. An SLR enables researchers to critically assess the existing literature on a given topic, identify relationships among investigated phenomena, uncover limitations of current studies, and suggest pathways for advancing academic inquiries. Through our review, we filtered out 0.37% of papers on software modeling and 0.63% of articles regarding quantum algorithms and various technical perspectives after removing duplicates and applying specific criteria to the remaining 478 articles. We employed the F-AHP method (illustrated in Fig. 1) to prioritize the key elements and their categories, facilitating a thorough understanding of decision-making issues across multiple criteria. As noted in the previous section, a focus on management capabilities essential for expediting the development of algorithms necessary for rapid digitization represents a promising area for future research in quantum computing literature. Our findings reveal that the consistency ratio (CR) for the specified criteria falls within the acceptable threshold of 0.10, indicating a collective agreement among respondents regarding group decisions. Employing the outlined methodology, we assessed the provided CR.

Our results underscore the complex challenges associated with adopting quantum computing, many of which are tied to existing practices and expectations, such as the importance of scalability and evaluating resource performance. We encourage researchers to investigate the potential for technological integration processes to alleviate the organizational challenges and support the acceptance of new technologies, as the adoption of quantum computing remains a persistent obstacle for various sectors.