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Data-driven lighthouse management: Leveraging classical ML and quantum computing techniques to optimize reliability. Achieved 92% accuracy with classical models and 55% accuracy using a Variational Quantum Classifier. Revolutionizing sensor malfunction prediction in lighthouse operations.
A Mathematica package for performing calculations involving matrices/vectors in the Dirac notation which is usually used in quantum mechanics/quantum computing.