Xu Muqing, Kendrick Lev Haldar, Kale Anant, Gang Youqi, Feng Chunhan, Zhang Shiwei, Young Aaron W, Lebrat Martin, Greiner Markus
Department of Physics, Harvard University, Cambridge, MA, USA.
Center for Computational Quantum Physics, Flatiron Institute, New York, NY, USA.
Nature. 2025 Jun;642(8069):909-915. doi: 10.1038/s41586-025-09112-w. Epub 2025 Jun 11.
Ultracold fermionic atoms in optical lattices offer pristine realizations of Hubbard models, which are fundamental to modern condensed-matter physics. Despite notable advancements, the accessible temperatures in these optical lattice material analogues are still too high to address many open problems. Here we demonstrate a several-fold reduction in temperature, bringing large-scale quantum simulations of the Hubbard model into an entirely new regime. This is accomplished by transforming a low-entropy product state into strongly correlated states of interest via dynamic control of the model parameters, which is extremely challenging to simulate classically. At half-filling, the long-range antiferromagnetic order is close to saturation, leading to a temperature of based on comparisons with numerically exact simulations. Doped away from half-filling, it is exceedingly challenging to realize systematically accurate and predictive numerical simulations. Importantly, we are able to use quantum simulation to identify a new pathway for achieving similarly low temperatures with doping. This is confirmed by comparing short-range spin correlations to state-of-the-art, but approximate, constrained-path auxiliary-field quantum Monte Carlo simulations. Compared with the cuprates, the reported temperatures correspond to a reduction from far above to below room temperature, at which physics such as the pseudogap and stripe phases may be expected. Our work opens the door to quantum simulations that solve open questions in material science, develop synergies with numerical methods and theoretical studies, and lead to discoveries of new physics.
光学晶格中的超冷费米子原子为哈伯德模型提供了纯净的实现方式,而哈伯德模型是现代凝聚态物理的基础。尽管取得了显著进展,但这些光学晶格材料类似物中可达到的温度仍然过高,无法解决许多悬而未决的问题。在此,我们展示了温度降低了几倍,将哈伯德模型的大规模量子模拟带入了一个全新的领域。这是通过对模型参数进行动态控制,将低熵乘积态转变为感兴趣的强关联态来实现的,而这在经典模拟中极具挑战性。在半填充时,基于与数值精确模拟的比较,长程反铁磁序接近饱和,导致了一定的温度。在远离半填充进行掺杂时,要实现系统精确且可预测的数值模拟极具挑战性。重要的是,我们能够利用量子模拟来确定一种在掺杂情况下实现类似低温的新途径。通过将短程自旋关联与最先进但近似的受限路径辅助场量子蒙特卡罗模拟进行比较,这一点得到了证实。与铜酸盐相比,所报道的温度对应于从远高于室温降至低于室温,在这个温度下可能会出现诸如赝能隙和条纹相等物理现象。我们的工作为解决材料科学中的悬而未决问题、与数值方法和理论研究形成协同效应以及发现新物理现象的量子模拟打开了大门。