STUDY OF QUANTUM ALGORITHMS FOR MACHINE LEARNING
DOI:
https://doi.org/10.29121/shodhkosh.v5.i3.2024.5692Keywords:
Quantum Algorithms, Machine Learning, Variational Circuits, Quantum Kernel, Hybrid ModelsAbstract [English]
Quantum algorithms for machine learning represent a paradigm shift in computational learning. While still in the early stages, QAML holds the promise to transform industries by enabling faster, more powerful models — especially for problems that are intractable for classical systems. As quantum hardware and algorithms improve, QAML will likely play a central role in the future of artificial intelligence.
References
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Copyright (c) 2024 Dr. Amit Bhusari, Dr. Prabhanjan Chaudhari, Dipali Bhusari, Amol Payghan
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