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Three reasons why quantum computing could be a game-changer for AI

    Quantum computing stocks are in the spotlight after Google unveiled its new quantum computing chip, Willow, which has contributed to Alphabet stock's recent gains.

    D-Wave (QBTS), a quantum computing company, announced that it has secured $175 million in funding. CEO Alan Baratz joins Catalysts Co-Hosts Seana Smith and Madison Mills to explain what's going on in the quantum computing space and what investors need to know about its connection to artificial intelligence (AI).

    “There's a lot of synergy between AI and quantum,” Baratz says, adding, “The way I think about it is that there are three areas where AI and quantum work together.”

    “The first and most obvious is that they can all work side by side to solve a problem synergistically. For example, you can use AI to predict demand for products in the future and then use quantum computing to solve the optimize the supply chain to meet that demand.”

    “Second, we are currently doing quite a bit of work on how quantum computing can be used as part of model training and inference for AI.” The CEO explains: “Because of the fact that [quantum is] so much faster than classic [computing] and requires so much less power, we think we can support model training and inference with much lower power consumption than what happens today, which could be a game-changer.”

    “Finally, models on quantum distributions rather than classical distributions can enable greater accuracy [AI] models.”

    For more expert insights and analysis on the latest market action, check out more Catalysts here.

    This post was written by Naomi Buchanan.