Quantum and Supercomputer Technology and Their Comparative Analysis
Keywords:
Supercomputer, quantum computer, qubit, superposition, parallel loading, quantum supremacy, evolution, energy production, transformationAbstract
This article comprehensively examines the conceptual and practical aspects of two fundamental directions at the peak of the hierarchy of modern computing technologies — classical supercomputers and quantum computing systems. The relevance of the research is explained by the rapid growth of data volumes and the fact that traditional silicon technologies have reached their physical limits. The first part of the article analyzes the history of supercomputer development, their multi-core parallel architecture, and operating principles based on logical bits. Simultaneously, the technological limitations of such systems, including high energy consumption and cooling requirements, are highlighted. The second part explores the laws of quantum mechanics as the theoretical foundation of quantum computers, specifically the impact of superposition and entanglement phenomena on computing efficiency. The fundamental differences between classical bits and quantum bits (qubits) are scientifically justified, alongside the revolutionary potential of quantum algorithms (such as Shor’s and Grover’s algorithms) in traditional cryptographic and search systems. In the final section, a comparative analysis of these two powerful systems is conducted regarding processing speed, energy consumption, fault tolerance, and practical application areas. The research results indicate that quantum computers will not entirely replace classical supercomputers in the near future; instead, they will facilitate the formation of hybrid computing models. The article is intended for industry specialists, students, and those interested in the evolution of high technologies.
References
[1] M. A. Nielsen and I. L. Chuang, Quantum Computation and Quantum Information. Cambridge: Cambridge University Press, 2010.
[2] F. Arute et al., “Quantum supremacy using a programmable superconducting processor,” Nature, vol. 574, no. 7779, pp. 505–510, 2019.
[3] TOP500.org, “The TOP500 list: High-performance computing technical reports (2024–2025),” [Online]. Available: https://www.top500.org
[4] IBM Quantum, “Quantum computing roadmap and infrastructure,” 2024. [Online]. Available: https://quantum.ibm.com
[5] G. Bell, “The Cray-1 supercomputer: History and architecture,” IEEE Annals of the History of Computing, 2015.
[6] National Research Council, Quantum Computing: Progress and Prospects. Washington, DC: National Academies Press, 2019.
[7] J. Preskill, “Quantum computing in the NISQ era and beyond,” Quantum, vol. 2, p. 79, 2018.
[8] P. W. Shor, “Algorithms for quantum computation: Discrete logarithms and factoring,” in Proc. IEEE FOCS, 1994, pp. 124–134.
[9] L. K. Grover, “A fast quantum mechanical algorithm for database search,” in Proc. STOC, 1996, pp. 212–219.
[10] T. Häner, D. S. Steiger, and M. Troyer, “High performance emulation of quantum circuits,” in SC Conference, 2016.
[11] J. Dongarra et al., “The TOP500 list and progress in high-performance computing,” IEEE Computer, vol. 56, no. 10, pp. 42–49, 2023.
[12] S. Aaronson, Quantum Computing Since Democritus. Cambridge: Cambridge University Press, 2013.
[13] R. P. Feynman, “Simulating physics with computers,” International Journal of Theoretical Physics, vol. 21, no. 6, pp. 467–488, 1982.
[14] D. A. Bader, “Petascale computing: Algorithms and applications,” Chapman & Hall/CRC, 2007.
[15] OECD, High-Performance Computing and Quantum Technologies Outlook, Paris: OECD Publishing, 2022.
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