Theory of statistical topological insulators

Informations projet

STATOPINS

N° de convention de subvention: 638760

DOI

10.3030/638760

Projet clôturé

Date de signature de la CE 13 Février 2015

Date de début 1 Mars 2015

Date de fin 29 Février 2020

Financé au titre de

• EXCELLENT SCIENCE - European Research Council (ERC)

Coût total

€ 1 355 103,00

Contribution de l’UE

€ 1 355 103,00

Coordonné par

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

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

Période du rapport: 2019-09-01 au 2020-02-29

Résumé du contexte et des objectifs généraux du projet

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.

Travail effectué depuis le début du projet jusqu’à la fin de la période considérée dans le rapport et principaux résultats atteints jusqu’à présent

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.

Progrès au-delà de l’état des connaissances et impact potentiel prévu (y compris l’impact socio-économique et les conséquences sociétales plus larges du projet jusqu’à présent)

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