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QSIMCORR SIGNED

Quantum Simulation of Strongly-Correlated Systems

Total Cost €

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EC-Contrib. €

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Partnership

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 QSIMCORR project word cloud

Explore the words cloud of the QSIMCORR project. It provides you a very rough idea of what is the project "QSIMCORR" about.

phases    dimensions    situated    systematic    spin    astro    algorithmic    thermalize    fractional    body    abelian    language    fundamental    simultaneously    topology    flux    anyonic    sign    quantum    corrections    convergence    coding    universal    employs    correlated    extend    uniquely    limit    fermionic    vertex    diagrammatic    excitations    monte    exchange    obtain    rydberg    experiments    bosonic    dynamics    quench    thermodynamic    simulation    carlo    optical    cluster    improvement    thermal    seek    compute    entire    chern    combining    theoretical    realization    equilibrium    plasma    lattices    computer    refinements    scope    cold    localization    electron    exists    numerical    derivations    momentum    local    warm    disorder    route    supplemented    regimes    correlation    puzzle    types    condensed    gases    answer    harbor    alternative    diagrams    dense    paradigm    computed    insulators    stages    gas    density    errors    frustrated    physics    interactions    first    extensions    energies    selfenergy    competition    computation    superfluid    analytical    calculation   

Project "QSIMCORR" data sheet

The following table provides information about the project.

Coordinator
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN 

Organization address
address: GESCHWISTER SCHOLL PLATZ 1
city: MUENCHEN
postcode: 80539
website: www.uni-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]
 Project website https://www.theorie.physik.uni-muenchen.de/lsschollwoeck/pollet_group/research_pollet/index.html
 Total cost 2˙000˙000 €
 EC max contribution 2˙000˙000 € (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 2018-03-01   to  2023-02-28

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN DE (MUENCHEN) coordinator 2˙000˙000.00

Map

 Project objective

A major challenge in theoretical physics is to develop novel methods without systematic errors. The scope of this proposal is the numerical control over strongly correlated phases in the thermodynamic limit through two main developments: First, for bosonic systems, we aim to obtain reliable phase diagrams for optical flux lattices, combining topology with interactions. In particular, we study the competition between superfluid order and (fractional) Chern insulators, which may harbor (non-)abelian anyonic excitations. This is achieved by a major improvement on our current selfenergy-based cluster methods through non-local interactions, vertex corrections and momentum cluster extensions. This also enables access to out-of-equilibrium dynamics, relevant to study quench-type experiments. In the presence of disorder, we can then answer whether many-body-localization exists in higher dimensions and address the fundamental puzzle of how and when systems thermalize. Second, for fermionic systems with long-range interactions, such as warm dense matter, the electron gas, and cold gases with Rydberg interactions, the diagrammatic Monte Carlo method is uniquely situated to compute thermal exchange correlation energies over the entire density range, essential to any calculation in condensed matter physics, astro physics and plasma physics. It employs a universal language but needs further algorithmic refinements for improving its convergence and sign properties. Extensions are towards (frustrated) spin systems, providing an alternative route to the realization of strongly correlated phases. At all stages analytical derivations must be supplemented with coding and large-scale computation. We address what new types of quantum systems can efficiently be computed on a classical computer, and how. Simultaneously, we seek to extend the paradigm of quantum simulation by comparing the results of our novel methods with cold gas experiments in challenging regimes, where possible.

 Deliverables

List of deliverables.
Data Management Plan Open Research Data Pilot 2019-11-22 12:05:21

Take a look to the deliverables list in detail:  detailed list of QSIMCORR deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Ke Liu, Jonas Greitemann, Lode Pollet
Learning multiple order parameters with interpretable machines
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.99.104410
Physical Review B 99/10 2019-10-29
2019 Guillaume Salomon, Joannis Koepsell, Jayadev Vijayan, Timon A. Hilker, Jacopo Nespolo, Lode Pollet, Immanuel Bloch, Christian Gross
Direct observation of incommensurate magnetism in Hubbard chains
published pages: 56-60, ISSN: 0028-0836, DOI: 10.1038/s41586-018-0778-7
Nature 565/7737 2019-10-29
2019 Andrey S. Mishchenko, Lode Pollet, Nikolay V. Prokof’ev, Abhishek Kumar, Dmitrii L. Maslov, Naoto Nagaosa
Polaron Mobility in the “Beyond Quasiparticles” Regime
published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.123.076601
Physical Review Letters 123/7 2019-10-29
2018 Tobias Pfeffer, Lode Pollet
Full and unbiased solution of the Dyson-Schwinger equation in the functional integro-differential representation
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.98.195104
Physical Review B 98/19 2019-10-29
2018 Lode Pollet, Nikolay V. Prokof\'ev, Boris V. Svistunov
Stochastic lists: Sampling multivariable functions with population methods
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.98.085102
Physical Review B 98/8 2019-10-29
2019 Pramod Kumar, Päivi Törmä, Tuomas I. Vanhala
Magnetization, d -wave superconductivity, and non-Fermi-liquid behavior in a crossover from dispersive to flat bands
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.100.125141
Physical Review B 100/12 2019-10-29
2019 Jonas Greitemann, Ke Liu, Lode Pollet
Probing hidden spin order with interpretable machine learning
published pages: , ISSN: 2469-9950, DOI: 10.1103/physrevb.99.060404
Physical Review B 99/6 2019-10-29
2019 Tobias Pfeffer, Zhiyuan Yao, Lode Pollet
Strong randomness criticality in the scratched XY model
published pages: , ISSN: 2469-9950, DOI: 10.1103/PhysRevB.99.104514
Physical Review B 99/10 2019-10-29

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