费米子量子湍流：突破高性能计算的极限
Fermionic Quantum Turbulence: Pushing the Limits of High-Performance Computing
AI总结：
本研究借助ELPA库的改进实现了迄今最大规模的费米子量子湍流模拟，以涡旋内部结构为探针量化其耗散与热化过程，并公开数据与代码，推动超冷费米气体领域发展。
摘要：
超冷原子为模拟量子湍流的模拟量子计算机提供了平台，量子湍流是快速旋转的中子星中脉冲星星震等令人困惑的现象的基础。与液氦等其他平台不同，超冷原子拥有可行的动力学理论框架，但相关模拟已逼近当前经典计算机的能力边界。我们提出了迄今为止规模最大的费米子量子湍流模拟，并阐释了所需的计算技术，尤其是ELPA（本征值求解器库）的改进，使我们能够对创纪录规模（数百万行×数百万列）的矩阵进行对角化。我们以涡旋的内部结构作为局域有效温度的新型探针，量化了费米子量子湍流中耗散与热化的进行过程。所有模拟数据与源代码均已公开，以推动超冷费米气体领域的科学快速进步。
英文摘要：
Ultracold atoms provide a platform for analog quantum computer capable of simulating the quantum turbulence that underlies puzzling phenomena like pulsar glitches in rapidly spinning neutron stars. Unlike other platforms like liquid helium, ultracold atoms have a viable theoretical framework for dynamics, but simulations push the edge of current classical computers. We present the largest simulations of fermionic quantum turbulence to date and explain the computing technology needed, especially improvements in the ELPA library that enable us to diagonalize matrices of record size (millions by millions). We quantify how dissipation and thermalization proceed in fermionic quantum turbulence by using the internal structure of vortices as a new probe of the local effective temperature. All simulation data and source codes are made available to facilitate rapid scientific progress in the field of ultracold Fermi gases.
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