What are some potential applications of Quantum Machine Learning?
Answer / Dinesh Kumar Bhaskar
Quantum Machine Learning (QML) has the potential to revolutionize various domains such as drug discovery, optimization problems, and cryptography. In drug discovery, QML can help identify molecular structures that bind effectively with target proteins. For optimization problems, QML can solve complex computational challenges more efficiently than classical machine learning algorithms. In cryptography, quantum computers may pose a threat to traditional encryption methods, but QML could potentially develop post-quantum cryptographic algorithms for secure communication.
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