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

Fuente: arXiv
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Autores principales: Wlazlowski, Gabriel, Forbes, Michael McNeil, Sarkar, Saptarshi Rajan, Marek, Andreas, Szpindler, Maciej
Formato: Preprint
Publicado: 2023
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author Wlazlowski, Gabriel
Forbes, Michael McNeil
Sarkar, Saptarshi Rajan
Marek, Andreas
Szpindler, Maciej
author_facet Wlazlowski, Gabriel
Forbes, Michael McNeil
Sarkar, Saptarshi Rajan
Marek, Andreas
Szpindler, Maciej
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2310_03341
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Fermionic Quantum Turbulence: Pushing the Limits of High-Performance Computing
Wlazlowski, Gabriel
Forbes, Michael McNeil
Sarkar, Saptarshi Rajan
Marek, Andreas
Szpindler, Maciej
Quantum Gases
Computational Physics
Fluid Dynamics
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.
title Fermionic Quantum Turbulence: Pushing the Limits of High-Performance Computing
topic Quantum Gases
Computational Physics
Fluid Dynamics
url https://arxiv.org/abs/2310.03341