Discover how a groundbreaking collaboration between scientists and AI helped crack a complex quantum physics problem once thought unsolvable.
A scarcity of data is a major issue in scientific research. If you want to use machine learning , it seems almost impossible because the ML technology relies heavily on large data to produce significant output.So, the question that arises is, how do we use AI effectively to support their investigations?With this question in mind, a team of researchers has already started work on finding a solution for a field called condensed matter physics.
“In 2020, we realized that this spin liquid could occur naturally in a class of magnetic materials called ‘breathing pyroclores’. But we couldn’t figure out what happened to that spin liquid at low temperatures,” he continued.A quantum task for AIThe researchers from OIST teamed up with ML experts from LMU Munich, who had developed an ML algorithm that could classify conventional magnetic orders.
Machine Learning Physics Problem-Solving Quantum Physics
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