American International Journal of Research and Innovation

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Quantum Computing Applications in Future Information Processing Systems

Author(s) András Pályi
Country United States
Abstract The continuous growth of digital information generation has created increasing demands for advanced computational capabilities capable of processing complex problems beyond the limitations of conventional computing systems. Traditional computing architectures face challenges when handling large-scale optimization, high-dimensional data analysis, cryptographic operations, and complex simulations. Quantum computing has emerged as a transformative computational paradigm that utilizes quantum mechanical principles, including superposition, entanglement, and quantum interference, to enable new approaches for information processing.
This study examines quantum computing applications in future information processing systems by analysing their potential contribution to computational efficiency, data processing capability, optimization performance, and intelligent information management. The research explores key quantum computing approaches including quantum algorithms, quantum machine learning, quantum simulation, and quantum optimization techniques. A simulation-based analytical framework is developed to compare classical computing approaches with quantum-enhanced information processing models using evaluation indicators including processing capability, computational efficiency, problem-solving effectiveness, and scalability potential.
The findings demonstrate that quantum computing approaches provide significant advantages for solving specific categories of complex computational problems. The results indicate that quantum-enhanced systems can improve optimization processes, accelerate advanced simulations, and support future intelligent information processing environments. However, practical implementation remains dependent on overcoming challenges related to quantum hardware stability, error correction, scalability, computational resource requirements, and integration with existing information systems.
Keywords Quantum Computing, Information Processing Systems, Quantum Algorithms, Quantum Machine Learning, Computational Intelligence, Future Computing, Quantum Optimization
Field Engineering
Published In Volume 6, Issue 3, May-June 2024
Published On 2024-06-02
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