Tensor renormalization group analysis for reduced staggered fermions

27 Jul 2021, 14:30
15m
Oral presentation Algorithms (including Machine Learning, Quantum Computing, Tensor Networks) Algorithms (including Machine Learning, Quantum Computing, Tensor Networks)

Speaker

Ryo Sakai (University of Iowa)

Description

Reduced staggered fermions afford a very economical lattice fermion formulation yielding just two Dirac fermions in the continuum limit. They have also been used to construct models capable of symmetric mass generation. However, generically they suffer from sign problems. We discuss an application of the tensor renormalization group, a sign problem free method, to such models. We make a comparison between tensor renormalization group results and RHMC results in smaller volumes and show behaviors of physical observables in the thermodynamic and the continuum limits.

Primary author

Ryo Sakai (University of Iowa)

Co-authors

Presentation materials