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Quantum computing, leveraging the principles of quantum mechanics, has been found to significantly enhance computational capabilities in principle, in some cases beyond classical computing limits. This paper explores quantum computing’s potential to address complex, large-scale problems in transportation systems. It focuses on three main paradigms: gate-based quantum computing, quantum annealing, and quantum machine learning.
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