EMUS-QMC: Elective Momentum Ultra-Size Quantum Monte Carlo Method
Zi Hong Liu, Xiao Yan Xu, Yang Qi, Kai Sun, Zi Yang Meng

TL;DR
The paper introduces EMUS-QMC, a novel quantum Monte Carlo method that focuses on low-energy fermion modes near hot-spots, significantly reducing computational complexity and enabling larger system simulations for strongly correlated electron systems.
Contribution
It develops a momentum-space inhomogeneous mesh QMC method that targets low-energy physics, achieving higher efficiency and larger system sizes than traditional methods.
Findings
Achieves similar accuracy with orders of magnitude less computation.
Accesses larger system sizes, e.g., 48x48x32, for quantum critical models.
Provides high-precision scaling exponents for itinerant quantum critical points.
Abstract
One bottleneck of quantum Monte Carlo (QMC) simulation of strongly correlated electron systems lies at the scaling relation of computational complexity with respect to the system sizes. For generic lattice models of interacting fermions, the best methodology at hand still scales with where is the inverse temperature and is the system size. Such scaling behavior has greatly hampered the accessibility of the universal infrared (IR) physics of many interesting correlated electron models at (2+1)D, let alone (3+1)D. To reduce the computational complexity, we develop a new QMC method with inhomogeneous momentum-space mesh, dubbed elective momentum ultra-size quantum Monte Carlo (EQMC) method. Instead of treating all fermionic excitations on an equal footing as in conventional QMC methods, by converting the fermion determinant into the momentum space, our method…
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