How Quantum Machine Learning Can Boost Drug Discovery
Last Updated on July 25, 2023 by Editorial Team
Author(s): SPX
Originally published on Towards AI.
Quantum Computing
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Drug discovery is a complex and costly process that aims to find new and effective treatments for various diseases. It involves searching for molecules that can interact with biological targets and have desirable properties, such as safety, efficacy, and specificity. However, finding such molecules is not easy, as the chemical space of possible candidates is huge and the interactions are often nonlinear and dynamic.
Quantum machine learning (QML) is a novel approach that combines quantum computing and machine learning to tackle some of the challenges in drug discovery. Quantum computing is a paradigm that uses quantum mechanical phenomena, such… Read the full blog for free on Medium.
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