AI and quantum computing boost discovery of exotic quantum materials

Researchers at the University of Washington have combined artificial intelligence with quantum computers to accelerate the design of quantum materials. An AI model acts as a fast, inexpensive substitute for a supercomputer, enabling simulations of large atomic structures that reveal new phenomena impossible to model with traditional methods. In a separate study, the same team used a quantum processor to examine the Laughlin state, an exotic form of matter linked to the fractional quantum Hall effect, highlighting the complementary roles of AI and quantum hardware.

At Rutgers University, scientists observed a quantum liquid crystal at the boundary between a Weyl semimetal and a spin‑ice insulator under ultra‑high magnetic fields. The experiment revealed a dramatic shift in electron conduction, from six low‑conductivity directions to flow along two opposite channels, indicating a rotational symmetry‑breaking transition and a new topological quantum phase. The findings suggest new ways to control electron movement in engineered materials.