Theory of statistical topological insulators

Informazioni relative al progetto

STATOPINS

ID dell’accordo di sovvenzione: 638760

DOI

10.3030/638760

Progetto chiuso

Data della firma CE 13 Febbraio 2015

Data di avvio 1 Marzo 2015

Data di completamento 29 Febbraio 2020

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 1 355 103,00

Contributo UE

€ 1 355 103,00

Coordinato da

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

Periodic Reporting for period 4 - STATOPINS (Theory of statistical topological insulators)

Periodo di rendicontazione: 2019-09-01 al 2020-02-29

Sintesi del contesto e degli obiettivi generali del progetto

Topology is a new tool in the toolbox of quantum material design that allows to engineer materials with properties protected from noise and disorder. It allows to create quantum computers, and protects electric current from dissipating.
Topological materials usually need to satisfy a specific property, for example they may require the materials to be nonmagnetic. This project aims to relax this requirement and to instead apply topology to materials that have a finite magnetization, which vanishes on average.
Such a generalization will enable the researchers to identify new types topological materials, and improve the control and understanding of quantum matter.

Lavoro eseguito dall’inizio del progetto fino alla fine del periodo coperto dalla relazione e principali risultati finora ottenuti

The research team has developed a new algorithm for automatically characterizing and classifying properties of disordered systems. This has enabled them to find a new method of creating the Majorana particles—a building block of a topologically protected quantum computer.
The researchers have also discovered a new way to probe and characterize Majorana particles in presence of disorder by measuring conductance through the device.
Unlike the previously used probes this method allows to verify that the Majorana particles are protected by topology, and to evaluate the quality of this protection.

Progressi oltre lo stato dell’arte e potenziale impatto previsto (incluso l’impatto socioeconomico e le implicazioni sociali più ampie del progetto fino ad ora)

The researchers have developed algorithms for automatically identifying topological insulators that are especially suitable for automated analysis of disorder systems. They will now turn to exploit their new algorithm and identify new topological materials based on naturally disordered systems like alloys of several materials and random magnets. By the end of the project they expect to design new approaches to designing Majorana particles and find new types of topological insulators.

The workflow of an automated algorithm for determining symmetries