# 18.12. M.Sc. Perttu Luukko (Faculty of Mathematics and Science, Physics)

18.12.2015 12:00 — 15:00

Location: Ylistonrinne , FYS1

Release: 18 Dec 2015 Spectral Analysis and Quantum Chaos in Two-Dimensional Nanostructures (Luukko)

M.Sc. **Perttu Luukko** defends his doctoral dissertation in Physics ”Spectral Analysis and Quantum Chaos in Two-Dimensional Nanostructures”. Opponent Professor **Jan Michael** **Rost** (Max Planck Institute for the Physics of Complex Systems, Germany) and custos Professor **Hannu Häkkinen** (University of Jyväskylä). The dissertation is held in English.

**Abstract:**

This thesis describes a study into the eigenvalues and eigenstates of 2D quantum systems. The underlying motivation for this work is the grand question of quantum chaos: how does chaos, as known in classical mechanics, manifest in quantum mechanics? The search and analysis of these quantum fingerprints of chaos requires efficient numerical tools and methods, the development of which is given a special emphasis in this thesis.

The first publication in this thesis concerns the eigenspectrum analysis of a nanoscale device. It is shown that a measured addition energy spectrum can be explained by a simple confinement of interacting electrons in a potential well, and a simple numerical model can explain an observed decrease in the conductance at specific particle numbers.

The study of quantum chaos by statistical properties of eigenvalues requires a way to solve the eigenvalue spectrum of a quantum system up to highly excited states. The second publication describes a numerical program, itp2d, that uses imaginary time propagation to achieve this goal. The program provides means to sophisticated eigenvalue analysis involving long-range correlations, and a unique view to highly excited eigenstates of complicated 2D systems, such as those involving magnetic fields and strong disorder.

The next step in the eigenvalue analysis is to remove the trivial part of the spectrum in a process known as unfolding. Unless the system belongs to a special class for which the trivial part is known, unfolding is an ambiguous process that can cause substantial artifacts to the eigenvalue statistics. Recently it has been proposed that these artifacts can be mitigated by employing the empirical mode decomposition (EMD) algorithm in the unfolding. The third publication describes an efficient implementation of this algorithm, which is also highly useful in other kinds of data analysis.

Quantum scarring refers to the condensation of quantum eigenstate probability density around unstable classical periodic orbits in chaotic systems. It represents a useful and visually striking quantum suppression of chaos. The final publication describes the discovery of a new kind of quantum scarring in symmetric 2D systems perturbed by local disorder. These unusually strong quantum scars are not explained by ordinary scar theory. Instead, they are caused by classical resonances and resulting quantum near-degeneracy in the unperturbed system. Wave-packet analysis shows that the scars greatly influence the transport properties of these systems, even to the extent that wave packets launched along the scar path travel with higher fidelity than in the corresponding unperturbed system. This discovery raises interesting possibilities of selectively enhancing the conductance of quantum systems by adding local perturbations.