Quantum annealing provides a powerful platform for simulating magnetic materials and realizing statistical physics models, presenting a compelling alternative to classical Monte Carlo methods. At this webinar, a researcher from Los Alamos National Lab will discuss his work demonstrating that quantum annealers can accurately reproduce phase diagrams and simulate critical phenomena without suffering from the critical slowing down that often affects classical algorithms.

This work demonstrates how, through fine-tuning and calibration, a quantum annealer can be employed to apply sophisticated finite-size scaling techniques from statistical mechanics. The results establish quantum annealers as robust statistical physics simulators, offering a novel pathway for studying phase transitions and critical behavior.