AI 中文总结
针对近期量子硬件模拟过的一维费米-哈伯德模型奈尔猝灭动力学，本文用横向张量网络收缩（键维度32）的经典模拟，更快更准确得到7260条可观测量轨迹，还扩展了轨迹的可模拟时长。
AI 中文摘要
我们研究了一维费米-哈伯德模型的奈尔猝灭动力学，该模型最近已在量子硬件上完成模拟。我们证明，通过适度计算量的经典张量网络模拟，能更快且更准确地得到量子实验中测量的7260条可观测量轨迹。该结果依赖于横向张量网络收缩，键维度取32时已足以复现量子实验。我们还将收敛后的可观测量轨迹扩展到比硬件模拟及近期其他经典模拟更长的时间范围。
英文摘要
We study the Néel quench dynamics of a 1D Fermi-Hubbard model which has recently been simulated on quantum hardware. We demonstrate that the set of 7260 observable trajectories measured in the quantum experiment can be obtained more quickly and accurately through classical tensor network simulation using modest computation. Our result relies on transverse tensor network contraction, where a bond dimension of 32 is already sufficient to reproduce the quantum experiment. We further extend the converged observable trajectories to longer times than in the hardware simulation and in other recent classical simulations.
