Opendata, web and dolomites

DYNACQM SIGNED

Dynamics of Correlated Quantum Matter: From Dynamical Probes to Novel Phases of Matter


Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "DYNACQM" data sheet

The following table provides information about the project.

Coordinator
TECHNISCHE UNIVERSITAET MUENCHEN 

Organization address
address: Arcisstrasse 21
city: MUENCHEN
postcode: 80333
website: www.tu-muenchen.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 1˙998˙750 €
 EC max contribution 1˙998˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2023-05-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNISCHE UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 1˙998˙750.00

Map

 Project objective

The interplay of quantum fluctuations and correlation effects in condensed matter can yield emergent phases with fascinating properties. Understanding these challenging quantum-many body systems is a problem of central importance in theoretical physics and the basis for the development of new materials for future technologies. Dynamical properties can provide characteristic fingerprints that allow to identify novel phases in newly synthesized materials and optical lattice systems. Moreover, when brought out of equilibrium, correlated quantum matter can exhibit dynamical phases that cannot occur in equilibrium settings.

DYNACQM will develop new theoretical and numerical frameworks to study dynamical properties of correlated quantum matter. On the theoretical side, we will investigate how many-body entanglement affects dynamical properties and predict universal features that can be measured in experiments. For example, dynamical spin correlation functions, measured in neutron scattering experiments, provide signatures of topologically ordered spin liquids. Furthermore, we will study the role of disorder and many-body localization in static as well as in driven quantum systems. On the numerical side, we will develop efficient tensor-product state based algorithms to simulate the dynamics of quantum many-body systems. These will allow us to study realistic microscopic model systems and to understand their dynamical properties.

Recent developments in the creation of synthetic quantum systems and advances in high resolution spectroscopy allow for an unprecedented precision with which the dynamics of quantum systems can be studied and manipulated experimentally. In this light, it is particularly important to theoretically understand the dynamics of correlated quantum systems and to make testable predictions. DYNACQM will bridge between the fundamental understanding of many-body entanglement in correlated quantum matter and experiments.

 Publications

year authors and title journal last update
List of publications.
2019 Adam Smith, M. S. Kim, Frank Pollmann, Johannes Knolle
Simulating quantum many-body dynamics on a current digital quantum computer
published pages: , ISSN: 2056-6387, DOI: 10.1038/s41534-019-0217-0
npj Quantum Information 5/1 2020-01-28
2019 Kévin Hémery, Frank Pollmann, David J. Luitz
Matrix product states approaches to operator spreading in ergodic quantum systems
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.100.104303
Physical Review B 100/10 2019-12-17
2019 Johannes Feldmeier, Frank Pollmann, Michael Knap
Emergent Glassy Dynamics in a Quantum Dimer Model
published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.123.040601
Physical Review Letters 123/4 2019-12-17
2019 T. Rakovszky, S. Gopalakrishnan, S. A. Parameswaran, F. Pollmann
Signatures of information scrambling in the dynamics of the entanglement spectrum
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.100.125115
Physical Review B 100/12 2019-12-17
2019 Matthias Gohlke, Roderich Moessner, Frank Pollmann
Polarization plateaus in hexagonal water ice I h
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.100.014206
Physical Review B 100/1 2019-12-17
2018 Daniel Hetterich, Norman Y. Yao, Maksym Serbyn, Frank Pollmann, Björn Trauzettel
Detection and characterization of many-body localization in central spin models
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.98.161122
Physical Review B 98/16 2019-09-04
2018 Ruben Verresen, Frank Pollmann, Roderich Moessner
Quantum dynamics of the square-lattice Heisenberg model
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.98.155102
Physical Review B 98/15 2019-09-04
2019 Xiao-Yu Dong, Frank Pollmann, Xue-Feng Zhang
Machine learning of quantum phase transitions
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.99.121104
Physical Review B 99/12 2019-09-04
2019 Giuseppe De Tomasi, Frank Pollmann, Markus Heyl
Efficiently solving the dynamics of many-body localized systems at strong disorder
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.99.241114
Physical Review B 99/24 2019-09-04
2019 Ruben Verresen, Roderich Moessner, Frank Pollmann
Avoided quasiparticle decay from strong quantum interactions
published pages: , ISSN: 1745-2473, DOI: 10.1038/s41567-019-0535-3
Nature Physics 2019-09-04

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DYNACQM" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "DYNACQM" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

CohoSing (2019)

Cohomology and Singularities

Read More  

PROTECHT (2020)

Providing RObust high TECHnology Tags based on linear carbon nanostructures

Read More  

OSIRIS (2020)

Automatic measurement of speech understanding using EEG

Read More