Researchers prepared a generative hybrid

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And now he has published an article regarding the possible use of hybrid quantum-classical computing. But gradually. Medicinal preparations usually have one active ingredient, one molecule. However, the number of possible combinations of different molecules is unimaginable. And only a fraction of them could be used for treatment. This fraction is estimated at    to   molecules (only about    have been synthesized so far ). So it is necessary to search a huge space of different molecules.



Of course, this is not done by brute force, but generative AI has been successfully used for this in Chinese American Phone Number List recent years. Next, ideally for each molecule you want to do a quantum calculation that will give you the properties of the molecule, and then the classical interaction of that molecule with a living organism. In this case, the  AI to search for suitable candidates for deeper research, where they used a quantum annealer.






fter training, the hybrid AI returned them  new molecules that could potentially be therapeutic, so we should focus on them in depth. Moreover, of this amount of new molecules, only less than % are similar to the molecules used for training. This means that this hybrid AI is very innovative. In conclusion, this is not a demonstration of quantum advantage, so much as a demonstration of enormous potential for the pharmaceutical and chemical industries.