The Role Of Quantum Computing in Optimizing Machine Learning Algorithms
DOI:
https://doi.org/10.62951/ijcts.v1i2.64Keywords:
Quantum computing, Machine learning, Optimization, Neural networks, Computational efficiency, Large datasetsAbstract
Quantum computing has the potential to revolutionize machine learning by offering exponential speed-up for specific algorithms. This study explores the theoretical and practical implications of using quantum computing to optimize machine learning models, such as in training neural networks. The findings provide insights into the possible improvements in computational efficiency, particularly for large datasets and complex models.
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