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Can you explain the concept of quantum machine learning and its applications?
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Answer / Viresh Kumar
Quantum machine learning (QML) is a subfield of AI that leverages the principles of quantum mechanics to improve machine learning algorithms. QML utilizes quantum phenomena like superposition, entanglement, and interference to process and analyze data in ways that classical computers cannot. This has potential applications in various domains such as drug discovery, optimization problems, and cryptography. For example, QML can be used to train neural networks on large datasets using fewer samples, reducing the computational cost and increasing efficiency.
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