Fully solvable finite simplex lattices with open boundaries in arbitrary dimensions

TL;DR

This paper introduces a method to construct fully solvable, non-Hermitian $n$-simplex lattice models with open boundaries from the field-moments space of quadratic bosonic systems, revealing new insights into complex many-body systems.

Contribution

It demonstrates that $n$-simplex lattice models can be derived from high-dimensional polytope chains in the field-moments space of bosonic systems, providing a versatile platform for simulating non-Hermitian phenomena.

Findings

Constructed $n$-simplex lattice models from bosonic field-moments space.

Showed these models are fully solvable and non-Hermitian.

Linked simplex structures to applications like discrete fractional Fourier transform.

Abstract

Finite simplex lattice models are used in different branches of science, e.g., in condensed matter physics, when studying frustrated magnetic systems and non-Hermitian localization phenomena; or in chemistry, when describing experiments with mixtures. An $n$-simplex represents the simplest possible polytope in $n$ dimensions, e.g., a line segment, a triangle, and a tetrahedron in one, two, and three dimensions, respectively. In this work, we show that various fully solvable, in general non-Hermitian, $n$-simplex lattice models {with open boundaries} can be constructed from the high-order field-moments space of quadratic bosonic systems. Namely, we demonstrate that such $n$-simplex lattices can be formed by a dimensional reduction of highly-degenerate iterated polytope chains in $(k>n)$-dimensions, which naturally emerge in the field-moments space. Our findings indicate that the field-moments space of bosonic systems provides a versatile platform for simulating real-space $n$-simplex lattices exhibiting non-Hermitian phenomena, and yield valuable insights into the structure of many-body systems exhibiting similar complexity. Amongst a variety of practical applications, these simplex structures can offer a physical setting for implementing the discrete fractional Fourier transform, an indispensable tool for both quantum and classical signal processing.