Energetical self-organization of a few strongly interacting particles

Ioannis Kleftogiannis, Ilias Amanatidis

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract: We study the quantum self-organization of a few interacting particles with strong short-range interactions. The physical system is modeled via a 2D Hubbard square lattice model, with a nearest-neighbor interaction term of strength U and a second nearest-neighbor hopping t. For t=0, the energy of the system is determined by the number of bonds between particles that lie on adjacent sites in the Hubbard lattice. We find that this bond order persists for the ground and some of the excited states of the system, for strong interaction strength, at different fillings of the system. For our analysis, we use the Euler characteristic of the network/graph grid structures formed by the particles in real space (Fock states), which helps to quantify the energetical(bond) ordering. We find multiple ground and excited states, with integer Euler numbers, whose values persist from the t= 0 case, for strong interaction U> > t . The corresponding quantum phases for the ground state contain either density-wave-order(DWO) for low fillings, where the particles stay apart form each other, or clustering-order(CO) for high fillings, where the particles form various structures as they condense into clusters. In addition, we find various excited states containing superpositions of Fock states, whose probability amplitudes are self-tuned in a way that preserves the integer value of the Euler characteristic from the t= 0 limit. Graphic abstract: [Figure not available: see fulltext.]

Original languageEnglish
Article number151
JournalEuropean Physical Journal B
Volume96
Issue number11
DOIs
StatePublished - 1 Nov 2023

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

Fingerprint

Dive into the research topics of 'Energetical self-organization of a few strongly interacting particles'. Together they form a unique fingerprint.

Cite this