Traditional drug discovery pipeline takes several years and cost billions of dollars . Classical machines cannot efficiently produce atypical patterns of quantum computers which might improve the training quality of learning tasks . We propose a suite of quantum machine learning techniques e.g.,generative adversarial network (GAN), convolutional neural network (CNN) andvariational auto-encoder (VAE) to generate small drug molecules .

Author(s) : Junde Li, Mahabubul Alam, Congzhou M Sha, Jian Wang, Nikolay V. Dokholyan, Swaroop Ghosh

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Coursera

Keywords : learning - drug - quantum - discovery - machine -

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