Comprehensive analysis of quantum algorithms and mathematical foundations, highlighting emerging applications and challenges.
Quantum computing leverages the fundamental principles of quantum mechanics to address problems that are computationally infeasible for classical systems. This paper presents a comprehensive study of quantum computing with a focus on its mathematical foundations—superposition, entanglement, quantum gates, and quantum circuits. We explore the im- plementation and practical significance of core quantum algorithms, in- cluding Shor’s algorithm for integer factorization and Grover’s algorithm for unstructured search. Emerging domains such as quantum machine learning, quantum optimization, and quantum chemistry are also exam- ined. Mathematical examples are used to illustrate the operational mech- anisms of quantum systems in real-world applications. We further ana- lyze key challenges, including scalability, quantum error correction, and hardware constraints. The paper concludes with a discussion on future research directions and the evolving role of quantum computing in modern computational paradigms.
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Verma et al. (2025) studied this question.
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