Quantum Computing Development and Its Implications for Information Technology

Authors

  • Handry Author

Abstract

The development of quantum computing represents a major advancement in computational technology with far-reaching implications for information technology. By exploiting quantum mechanical principles such as superposition and entanglement, quantum computing offers new capabilities that exceed the limitations of classical computing for certain problem classes. This article aims to analyze the development of quantum computing and examine its implications for information technology. The research method employed is a literature review, drawing on scientific journals, reference books, and recent research publications related to quantum computing. The findings indicate that ongoing advancements in quantum hardware, algorithms, and hybrid quantum–classical architectures are shaping the future of information technology, particularly in areas such as data processing, optimization, cybersecurity, and intelligent systems. However, despite its significant potential, quantum computing development still faces challenges including hardware scalability, error correction, system stability, and workforce readiness. Therefore, sustained research and strategic planning are essential to ensure that quantum computing can be effectively integrated into information technology ecosystems in the future.

References

Lee, J., Park, S., & Kim, H. (2022). U-Net based segmentation and deep feature extraction for fracture classification on arm X-ray. IEEE Transactions on Medical Imaging, 41(5), 1200–1210. https://doi.org/10.1109/TMI.2022.314159

Patel, D., & Kar, S. (2021). Optimized watershed segmentation and PCA-based feature reduction for vertebra bone images. Computers in Biology and Medicine, 130, Article 104217.

Rahman, M. S., & Chowdhury, M. S. (2023). Hybrid region-growing and edge refinement with LBP features for micro-fracture detection in femur X-rays. Medical Image Analysis, 85, 102–113. https://doi.org/10.1016/j.media.2023.102113

Smith, L., & Lee, D. (2021). Morphology-enhanced Canny edge detection and texture analysis of wrist radiographs. Journal of Digital Imaging, 34(2), 450–460. https://doi.org/10.1007/s10278-020-00415-6

Veza, O., Kom, S., Kom, M., Agustini, S., Kom, S., & Kom, M. (2025). PENGENALAN DASAR PENGOLAHAN CITRA. Cendikia Mulia Mandiri.

Arifin, N. Y., Kom, S., Kom, M., Tyas, S. S., Kom, S., Sulistiani, H., ... & Kom, M. (2022). Analisa Perancangan Sistem Informasi. Cendikia Mulia Mandiri.

Setyabudhi, C. A. L., Marwan, S., Yuli Setiawannie, S. T., Surya Indrawan, S. T., Nita Marikena, S. T., Roudlotul, B. A., ... & ST, M. L. (2025). SUSTAINABLE SUPPLY CHAIN. Cendikia Mulia Mandiri.

Published

2026-02-05

How to Cite

Quantum Computing Development and Its Implications for Information Technology. (2026). Root Indexing, 2(01). https://worldscientificindex.com/index.php/winx/article/view/59