Theory of statistical topological insulators

Informacje na temat projektu

STATOPINS

Identyfikator umowy o grant: 638760

DOI

10.3030/638760

Projekt został zamknięty

Data podpisania przez KE 13 Lutego 2015

Data rozpoczęcia 1 Marca 2015

Data zakończenia 29 Lutego 2020

Finansowanie w ramach

• EXCELLENT SCIENCE - European Research Council (ERC)

Koszt całkowity

€ 1 355 103,00

Wkład UE

€ 1 355 103,00

Koordynowany przez

TECHNISCHE UNIVERSITEIT DELFT
Netherlands

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

Okres sprawozdawczy: 2019-09-01 do 2020-02-29

Podsumowanie kontekstu i ogólnych celów projektu

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.

Prace wykonane od początku projektu do końca okresu sprawozdawczego oraz najważniejsze dotychczasowe rezultaty

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.

Innowacyjność oraz oczekiwany potencjalny wpływ (w tym dotychczasowe znaczenie społeczno-gospodarcze i szersze implikacje społeczne projektu)

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