QUANTUM COMPUTING: THE TECHNOLOGICAL BREAKTHROUGHS, APPLICATIONS, CHALLENGES, AND THE FUTURE OF COMPUTATION

Abstract

Quantum computing has become a buzzword in the tech community nowadays. Quantum calculation is defined as a radical leap in computational models and is capable of solving problems that classical computers are unable to. The product of quantum mechanics, this new method makes use of superposition, entanglement, and quantum interference to accomplish calculations far more effectively. Solving most of the hard problems which would otherwise have been impossible for ordinary computers is possible using these quantum-mechanical properties. These problems include the modeling of quantum mechanics, logistics, chemical informatics, drug design, statistical science, sustainable energy production and storage, banking, and reliable communication and quantum chemical engineering. The last several years have been marked by tremendous gains in quantum software and algorithm development, as well as experimental research in quantum hardware, which have brought a quantum computer realization opportunity significantly closer. The study delves into the applications of quantum computing, including quantum-aided artificial intelligence, post-quantum cryptography, and ultra-high-speed, secure quantum networking. And points out the challenges like quantum hardware, interface with classical computers, and ethics in the digital economy of quantum. This study provides a comprehensive overview of the implications of the use of quantum computing based on recent developments, the identified research gaps, and future directions. This short study represents the rationale behind quantum computing and current developments with a focus on the potential applications in the future that are finding their way into different fields of science.

Keywords- Quantum computing, Quantum AI, Quantum Machine Learning, Quantum Applications.