" . . . when quantum computing marries AI. Over the last few years we have witnessed the rise of Agentic AI. From research universities to Fortune 500 companies, semi-autonomous AI agents are working on behalf of humans.
What if these agents could be paired with quantum computing in a computing symbiosis? Microsoft is already engaged in this collaborative work, calling its approach "scientist in the loop," meaning the agents advise while researchers make the decisions. The Quantum Insider reports that "researchers can deploy teams of AI agents that analyze large collections of information, generate hypotheses, optimize experiments and validate theories while working under human oversight."
But gains from quantum computing and AI need not rely on Agentic AI for their utility. Drug discovery work by University of Toronto researchers and Insilico Medicine shows what is already possible before the field reaches the utility milestone Dzurak describes. "In the study published in Nature Biotechnology, the researchers combined quantum computing and generative AI with classical computing methods to create molecules targeting a cancer-driving protein called KRAS, which had previously been considered 'undruggable,'" according to University of Toronto News. Igor Stagljar, co-investigator on the study and professor of biochemistry and molecular genetics at the Donnelly Centre at U of T's Temerty Faculty of Medicine, explains the significance of this work: "With computational approaches like this, we have the potential to shorten the preclinical phase of drug discovery by years."
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