Hybrid quantum-classical machine learning for generative chemistry and drug design
Abstract Deep generative chemistry models emerge as powerful tools to expedite drug discovery. However, the immense size and complexity of the structural space of all possible drug-like molecules pose significant obstacles, which could be overcome with hybrid architectures combining quantum computer...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-05-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-32703-4 |