A Review Study of Quantum Computing

Abstract: A new paradigm of computation has appeared recently that is known as quantum computing and which is able to solve difficult problems that cannot be solved using classical computing. It provides a comprehensive overview of the basic concepts, computational models, architectures, tools, applications and implications of quantum computing. The paper is based on the latest research, and it's used to evaluate the state of quantum computing, from theory to practical, application-oriented implementations. Fundamental concepts such as qubits, superposition, entanglement and hybrid quantum-classical computation are explained, along with major models and frameworks of quantum computing, including Cirq, TensorFlow Quantum and ProjectQ. Furthermore, various significant application areas, such as cryptography, optimization, AI, drug discovery, and industrial computing, are explored, highlighting the applications' potential and their technological development. Although great strides have been made, scalability, noise, error correction, interoperability and hardware challenges are major problems in the NISQ era. It also examines new trends, future research directions and the societal, security and ethical considerations of the advancement of quantum technology. But the bigger picture indicates that quantum computing is progressing from theory to reality, and there are many technical and institutional challenges to be resolved along the way. Interdisciplinary studies and responsible innovation will be key to unlocking the potential of quantum computing as the next generation of computational technology.

Keywords: Quantum Computing, Quantum Algorithms, Qubits, Quantum Machine Learning, Quantum Optimization, Noisy Intermediate-Scale Quantum (NISQ).