Quantum Computing Applications in Theo retical and Applied Physics: A Systematic Review

Quantum computing has emerged as a transformative computational paradigm capable of solving complex scientific problems beyond the capability of classical computers. Modern developments in quantum mechanics, quantum algorithms, and quantum hardware have significantlyaccelerated research in theoretical and applied physics. This review paper presents a systematic analysis of quantum computing applications in modern physics, including quantum simulation, condensed matter physics, high-energy physics, computational chemistry, astrophysics,and material science. The study discusses the principles of quantum computation, qubits, superposition, entanglement, and quantum algorithms that enable efficient processing of large-scalephysical models. Furthermore, the paper reviews recent advancements in quantum machinelearning, optimization techniques, and hybrid quantum-classical architectures used for solvingcomplex physical equations and simulations. The challenges associated with decoherence, noise,scalability, and hardware limitations are also analyzed. Finally, future research directions andemerging opportunities in integrating quantum computing with artificial intelligence and advanced physics modeling are discussed. The review highlights the transformative potential ofquantum computing in accelerating scientific discovery and enabling next-generation computational physics applications.