Insilico Medicine Demonstrated Potential Advantages of Using GANs

Insilico Medicine, an AI-driven drug discovery company, has demonstrated the potential advantages of using quantum generative adversarial networks (GANs) in generative chemistry. The study was published in the Journal of Chemical Information and Modeling. It was supported by University of Toronto Acceleration Consortium director Alán Aspuru-Guzik, Ph.D., and scientists from the Hon Hai (Foxconn) Research Institute.

GANs are a machine learning algorithm that can be used to generate new data similar to existing data. In drug discovery, GANs can generate new molecules with the desired properties for a particular drug target. The study found that the quantum-trained GAN could generate molecules with better properties than the classical GAN. This suggests that quantum computing could accelerate the drug discovery process.

The study is also a significant step forward in using quantum computing for drug discovery. It shows that quantum computing can train GANs to generate molecules with desired properties. This could lead to the development of new drugs that are more effective and less harmful than existing ones.

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Paul Smith-Goodson is the Moor Insights & Strategy Vice President and Principal Analyst for quantum computing and artificial intelligence.  His early interest in quantum began while working on a joint AT&T and Bell Labs project and, during 360 overviews of Murray Hill advanced projects, Peter Shor provided an overview of his ground-breaking research in quantum error correction. 

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Patrick founded the firm based on his real-world world technology experiences with the understanding of what he wasn’t getting from analysts and consultants. Ten years later, Patrick is ranked #1 among technology industry analysts in terms of “power” (ARInsights)  in “press citations” (Apollo Research). Moorhead is a contributor at Forbes and frequently appears on CNBC. He is a broad-based analyst covering a wide variety of topics including the cloud, enterprise SaaS, collaboration, client computing, and semiconductors. He has 30 years of experience including 15 years of executive experience at high tech companies (NCR, AT&T, Compaq, now HP, and AMD) leading strategy, product management, product marketing, and corporate marketing, including three industry board appointments.