Quantum Molecular Structure Encoding: A Breakthrough in Computational Chemistry

By/ Dr. Satyam Priyadarshy Quantum machine learning (QML) is a powerful tool for analyzing complex chemical data, potentially revolutionizing drug discovery and materials science. A key challenge is encoding molecular structures into quantum states effectively. Traditional methods often fall short, causing high qubit needs, circuit complexity, and poor model performance. Quantum Molecular Structure Encoding (QMSE) […]

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