The 38th International Symposium on Lattice Field Theory

A variance reduction technique for hadronic correlators with partially twisted boundary conditions

29 Jul 2021, 07:15

15m

Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Alessandro Barone (University of Southampton)

Description

Partially twisted boundary conditions are widely used for improving the momentum resolution in lattice computations of hadronic correlation functions. The method is however expensive since every additional twist requires computing additional propagators. We propose a novel variance reduction technique that exploits statistical correlations between correlators at different twists to reduce the overall cost for computing correlators with additional twist angles. We explain and demonstrate the method for meson 2pt and 3pt functions.

Presentation materials

146_R1Al_Alessandro_Barone

twistingLat21_Barone.pdf