Internship and thesis proposals
Tensor-network methods for tight-binding models on complex lattices

Domaines
Condensed matter
Statistical physics
Low dimension physics
Nouveaux états électroniques de la matière corrélée
Quantum information theory and quantum technologies

Type of internship
Théorique, numérique
Description
Tight-binding Hamiltonians are simple yet versatile models of quantum matter. On complex geometries such as fractals or quasiperiodic lattices, they show rich physics: fractals challenge the usual bulk-boundary picture of topological phases, while quasiperiodic models host unconventional localization. Tensor networks, well established for quantum many-body systems, can also represent tight-binding Hamiltonians. Combined with kernel polynomial methods, they give spectral functions at a cost logarithmic in system size, reaching billions of sites. We recently extended this approach to a broad class of hierarchical lattices, including fractal and quasiperiodic ones. This internship will extend these methods to more complex models, along one of two directions depending on the student's interests: 1) Topological states on fractal lattices: implementing topological models, including magnetic-flux operators, and studying localization and edge properties on different fractals. 2) Quasiperiodic models in one and two dimensions: generalizing the Fibonacci-chain approach to two-dimensional substitution tilings to study their unconventional localization, and exploring categorical symmetries to represent the substitution rules. Both directions combine physical and methodological aspects.

Contact
Loic Herviou
Laboratory : LPMMC - UMR 5493
Team : LPMMC, Grenoble
Team Website
/ Thesis :    Funding :