Artificial Neural Networks Are Revealing The Quantum World

Researchers have yet to explore these quantum systems fully. Realizing the need for better tools to do so, physicists from the Joint Quantum Institute (JQI) and the University of Maryland's Condensed Matter Theory Center (CMTC) have turned to artificial neural networks, which are constructed to function and pass information like neurons in the brain. "If we want to numerically tackle some quantum problem, we first need to find an efficient representation," JQI researcher Dongling Deng said in a press release. He got the idea after hearing about DeepMind's Go-playing artificial intelligence (AI) AlphaGo famously defeated human professional players in 2016. Machine learning, which is behind the achievements of current AI systems, seemed like a plausible tool.