A Quantum Leap: Harnessing Quantum Computing for Machine Learning
Keywords:
quantum computing, machine learning, quantum parallelism, data analysis, algorithmsAbstract
This paper explores the application of quantum computing in enhancing machine learning algorithms. By leveraging quantum parallelism, we investigate the potential for exponential speedups in processing large datasets. Our findings suggest that quantum machine learning algorithms can outperform classical counterparts in certain tasks, providing a promising avenue for research in computational complexity and data analysis. We also discuss the current limitations and propose directions for future studies to overcome these challenges.
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