How Quantum Machine Learning Can Boost Drug Discovery

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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Published via Towards AI