Three reasons why quantum computing could be a “game changer” for artificial intelligence
Quantum computing stocks have been in the spotlight after Google unveiled its new quantum computing chip, Willow, which contributed to the recent rise in Alphabet stock.
Quantum computing company D-Wave (QBTS) announced it has received $175 million in financing. CEO Alan Baratz joins Catalysts co-hosts Seana Smith and Madison Mills to detail the latest developments in quantum computing and what investors need to know about its connection to artificial intelligence (AI).
“There are a lot of synergies between artificial intelligence and quantum,” Balatz added. “My idea is that artificial intelligence and quantum can work together in three areas.”
“The first and most obvious is that everyone can work side by side and solve problems collaboratively. For example, you can use artificial intelligence to predict future product demand and then use quantum computing to optimize the supply chain to meet that demand.”
“Secondly, we are doing a lot of work now on how to use quantum computing as part of artificial intelligence model training and inference.” The CEO explained: “Because in fact [quantum is] Much faster than classic [computing] And requiring much less power, we think we might be able to support model training and inference at much lower power than we do now, which could be a game changer.
“In the end, quantum distribution models rather than classical distribution models may be more accurate. [AI] Model.
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This article was written by Naomi Buchanan.
