Optimization problems are ubiquitous across various industries, from finance to logistics and beyond. Traditional optimization techniques often face challenges in handling complex, large-scale problems efficiently. Quantum-inspired methods offer promising solutions by leveraging principles from quantum mechanics to revolutionize optimization strategies. This article explores the emergence of quantum-inspired algorithms, their key principles and their transformative impact on optimization techniques across different domains.
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Global Journal of Technology and Optimization received 664 citations as per Google Scholar report
