sis 23(1):

Research Article

Adoption of Quantum Computing in Economic Analysis: Potential and Challenges in Distributed Information Systems

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  • @ARTICLE{10.4108/eetsis.4373,
        author={Tuti Dharmawati and Loso Judijanto and Endang Fatmawati and Abdul Rokhim and Faria Ruhana and Moh Erkamim},
        title={Adoption of Quantum Computing in Economic Analysis: Potential and Challenges in Distributed Information Systems},
        journal={EAI Endorsed Transactions on Scalable Information Systems},
        volume={11},
        number={1},
        publisher={EAI},
        journal_a={SIS},
        year={2023},
        month={11},
        keywords={Quantum Computing, Economic Analysis, Distributed Information Systems},
        doi={10.4108/eetsis.4373}
    }
    
  • Tuti Dharmawati
    Loso Judijanto
    Endang Fatmawati
    Abdul Rokhim
    Faria Ruhana
    Moh Erkamim
    Year: 2023
    Adoption of Quantum Computing in Economic Analysis: Potential and Challenges in Distributed Information Systems
    SIS
    EAI
    DOI: 10.4108/eetsis.4373
Tuti Dharmawati1,*, Loso Judijanto2, Endang Fatmawati3, Abdul Rokhim4, Faria Ruhana5, Moh Erkamim6
  • 1: Haluoleo University
  • 2: IPOSS Jakarta
  • 3: Universitas Diponegoro Semarang
  • 4: UIN Kiai Haji Achmad Siddiq Jember
  • 5: Institut Pemerintahan Dadalam Negeri
  • 6: Universitas Tunas Pembangunan Surakarta
*Contact email: tuti_balaka@yahoo.co.id

Abstract

INTRODUCTION: Quantum computing technology has become a center of attention in various scientific disciplines, including economic analysis. The adoption of quantum computing in economic analysis offers tremendous potential to improve the processing of complex economic data and provide deep insights. However, the use of quantum technology in the context of distributed information systems also raises several challenges, including data security and the limitations of quantum technology. OBJECTIVE: This research aims to investigate the implications of adopting quantum computing in economic analysis, with a focus on distributed information systems. METHODS: This research was carried out using a descriptive qualitative approach, with data derived from the results of relevant research and previous studies. The collected data will be processed and analyzed to gain a deeper understanding of the adoption of quantum computing in economic analysis in distributed information systems. RESULTS: This research then finds that the adoption of quantum computing in economic analysis has the potential to increase efficiency, accuracy, and depth of economic insight. However, limitations of current quantum technologies, including quantum errors, limited scale of operations, and data security issues, limit their applications. In the long term, research and development will be key to overcoming these obstacles and maximizing the potential of this technology in economic analysis. CONCLUSION: The long-term implications include increased economic competitiveness and significant changes in the way economic decision-making is carried out, assuming that ethical and regulatory issues are also carefully considered.