Numerical linked-cluster expansions for disordered lattice models

Abstract

Imperfections in correlated materials can alter their ground state as well as finite-temperature properties in significant ways. Here, we develop a method based on numerical linked-cluster expansions for calculating exact finite-temperature properties of disordered lattice models directly in the thermodynamic limit. We show that a continuous distribution for disordered parameters can be achieved using a set of carefully chosen discrete modes in the distribution, which allows for the averaging of properties over all disorder realizations. We benchmark our results for thermodynamic properties of the square lattice Ising and quantum Heisenberg models with bond disorder against Monte Carlo simulations and study them as the strength of disorder changes. We also apply the method to the disordered Heisenberg model on the frustrated checkerboard lattice, which is closely connected to Sr${}_2$Cu(Te${}_{0.5}$W${}_{0.5}$)O${}_6$. Our method can be used to study finite-temperature properties of other disordered quantum lattice models including those for interacting lattice fermions.

Added references, figure 7, and discussions surrounding them

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Cited by in corpus (7)

• Adaptive-weighted tree tensor networks for disordered quantum many-body systems
• Numerical linked cluster expansions for inhomogeneous systems
• Hybrid quantum-classical algorithm for the transverse-field Ising model in the thermodynamic limit
• Thermodynamics of the disordered Hubbard model studied via numerical linked-cluster expansions
• Many-body localization and delocalization dynamics in the thermodynamic limit
• L-based numerical linked cluster expansion for square lattice models
• Numerical linked-cluster expansions for two-dimensional spin models with continuous disorder distributions