Fermionic Quantum Turbulence: Pushing the Limits of High-Performance Computing

作     者：Wlazlowski, Gabriel Forbes, Michael McNeil Sarkar, Saptarshi Rajan Marek, Andreas Szpindler, Maciej 

作者机构：Faculty of Physics Warsaw University of Technology Ulica Koszykowa 75 Warsaw00-662 Poland Department of Physics University of Washington SeattleWA98195–1560 United States Department of Physics and Astronomy Washington State University PullmanWA99164 United States  Garching near Munich85741 Germany Academic Computer Centre CYFRONET University of Science and Technology in Cracow Nawojki 11 Cracow30-950 Poland 

出 版 物：《arXiv》 (arXiv)

年 卷 期：2023年

核心收录：

主　　题：Eigenvalues and eigenfunctions 

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 Eigenvalue soLvers for Petaflop Applications (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. © 2023, CC BY.