Explore the words cloud of the DYNACQM project. It provides you a very rough idea of what is the project "DYNACQM" about.
The following table provides information about the project.
TECHNISCHE UNIVERSITAET MUENCHEN
|Coordinator Country||Germany [DE]|
|Total cost||1˙998˙750 €|
|EC max contribution||1˙998˙750 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-06-01 to 2023-05-31|
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|1||TECHNISCHE UNIVERSITAET MUENCHEN||DE (MUENCHEN)||coordinator||1˙998˙750.00|
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.
|year||authors and title||journal||last update|
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|
KÃ©vin HÃ©mery, 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|
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|
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|
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|
Daniel Hetterich, Norman Y. Yao, Maksym Serbyn, Frank Pollmann, BjÃ¶rn 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|
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|
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|
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|
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
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