Explore the words cloud of the QSIMCORR project. It provides you a very rough idea of what is the project "QSIMCORR" about.
The following table provides information about the project.
Coordinator |
LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN
Organization address contact info |
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 |
Take a look of project's partnership.
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1 | LUDWIG-MAXIMILIANS-UNIVERSITAET MUENCHEN | DE (MUENCHEN) | coordinator | 2˙000˙000.00 |
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.
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.
year | authors and title | journal | last update |
---|---|---|---|
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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The information about "QSIMCORR" are provided by the European Opendata Portal: CORDIS opendata.
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