ADVANCEMENTS IN QUANTUM COMPUTING: EXPLORING THE POTENTIAL OF QUANTUM ALGORITHMS FOR SOLVING COMPLEX PROBLEMS IN PHYSICS

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ID: 311337
2025
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Abstract
Quantum computing has emerged as a promising paradigm for addressing computational challenges in physics that remain intractable for classical methods. This study presents a quantitative benchmarking analysis of prominent quantum algorithms applied to representative physics problem classes, with the objective of evaluating their computational performance relative to state-of-the-art classical algorithms. Using standardized performance metrics—including execution time, algorithmic complexity, resource utilization, accuracy, scalability, and quantum advantage ratios—the study systematically compares quantum and classical approaches across multiple experimental configurations. The results demonstrate that quantum algorithms exhibit measurable performance gains for specific problem types, particularly in terms of runtime efficiency and scaling behavior, while also highlighting practical constraints related to qubit requirements and circuit depth. Visual and tabulated analyses further reveal that quantum advantage is highly problem-dependent and influenced by algorithmic structure and system size. Overall, the findings provide empirical evidence that quantum algorithms can offer substantial computational benefits for selected physics applications, while underscoring the importance of quantitative benchmarking in distinguishing theoretical promise from practical performance. This work contributes to ongoing efforts to objectively assess quantum advantage and informs future research directions in quantum algorithm development and physics-based applications.
Reference Key
Farid2025innovationsADVANCEMENTS Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hamza Farid;
Journal Innovations in Science, Technology, and Society
Year 2025
DOI
61
URL
https://istsjournal.com/index.php/journal/article/view/61
Keywords
quantum computing quantum algorithms physics simulations computational benchmarking quantum advantage algorithmic scalability performance analysis Migration family dynamics immigrant families fertility patterns family policies intergenerational relationships social welfare

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