Quantum computing has emerged as a groundbreaking field, promising unprecedented computational power by harnessing the principles of quantum mechanics. While true quantum computers are still in the experimental stage, researchers have developed quantum-inspired algorithms that mimic certain quantum properties. These algorithms have shown great promise in solving complex real-world problems more efficiently than classical algorithms. This article explores the concept of quantum-inspired algorithms and delves into their applications across various domains, highlighting their potential to revolutionize problem-solving in fields such as optimization, machine learning, cryptography and finance.
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Global Journal of Technology and Optimization received 847 citations as per Google Scholar report
