Year: 2025
Type: article
Abstract: We develop a generalization of low-mode averaging in which the number of low quark modes of the Dirac operator required for a constant variance reduction can be kept independent of the volume by exploiting their local coherence. Typically in lattice QCD simulations, the benefit of translation averaging quark propagators over the space-time volume is spoiled by large fluctuations introduced by the approximations needed to estimate the average. For quark-line connected diagrams at large separations, most of this additional variance can be efficiently suppressed by the introduction of hierarchical subspaces, thanks to the reduced size of the coarse grid operators that act within the subspaces. In this work, we investigate the contributions to the variance of the isovector vector current correlator with N f = 2 nonperturbatively O ( a ) -improved Wilson fermions on lattices approximately of size L = 2 , 3 and 4 fm. The numerical results obtained confirm that the variance decreases as the volume is increased when a multigrid decomposition is used with a fixed number of low modes. We obtain a speedup of more than an order of magnitude compared with a plain stochastic estimator. Compared with state-of-the-art low-mode averaging we practically eliminate the cost of generating low modes and the associated memory and storage overheads. While the proposed decomposition can be applied to any quark propagator, it is expected to be especially effective for quark-line connected diagrams at large separations, for example, the isovector contribution to the hadronic vacuum polarization or baryonic correlators.
Institution: ETH Zurich
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: hybrid
Funders: European High Performance Computing Joint Undertaking, Jülich Supercomputing Centre, Forschungszentrum Jülich, Branco Weiss Fellowship – Society in Science, Eidgenössische Technische Hochschule Zürich, China Scholarship Council, Centro Svizzero di Calcolo Scientifico, National Supercomputing Centre Singapore, Gauss Centre for Supercomputing
Awards: G7014705540, G867188403
OpenAlex ID: W4409412329