Modulational instability and discrete quantum droplets in a deep quasi-one-dimensional optical lattice
Sherzod R. Otajonov, Bakhram A. Umarov, Fatkhulla Kh. Abdullaev
TL;DR
This work analyzes modulational instability and discrete quantum droplets in a deep quasi-1D optical lattice described by a discrete GPE with cubic-quintic nonlinearity arising from Lee-Huang-Yang (LHY) corrections. It derives the discrete model $i \psi_{n,t}+ \kappa (\psi_{n+1}+\psi_{n-1}-2 \psi_n) + \gamma |\psi_n|^2 \psi_n-\delta |\psi_n|^3\psi_n=0$, characterizes MI via the plane-wave ansatz and its gain spectrum, and maps instability regions in parameter spaces. The study then constructs a variety of strongly localized discrete breathers (even/odd, topological/flat-top and LHY-only modes) using the Page method, analyzes their linear stability, and validates results with numerics; it further develops a quasi-continuous variational approach to describe soliton- and flat-top-like droplets and their interactions. The findings show that quantum fluctuations can both modify MI landscapes and sustain novel localized states, with stability strongly dependent on parity, coupling, and the presence of LHY terms, offering insights for experiments on BECs in deep optical lattices. The combination of linear stability analysis, Page method, and variational treatment provides a comprehensive framework for understanding quasi-1D discrete quantum droplets in lattice-confinement settings.
Abstract
We study the properties of modulational instability and discrete breathers arising in a quasi-one-dimensional discrete Gross-Pitaevskii equation with Lee-Huang-Yang corrections. Conditions for modulation instability and instability regions of nonlinear plane waves are determined in parameter space. We analytically investigate the existence of different quantum droplet solutions, including intersite, onsite, front-like, flat-top and dark localized modes, using the Page method and variational approach. Their stability is checked using linear stability analyses and numerical simulations. The analytical predictions corroborated with the numerical simulations.
