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 Country||Germany [DE]|
|Total cost||2˙000˙000 €|
|EC max contribution||2˙000˙000 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-03-01 to 2023-02-28|
Take a look of project's partnership.
|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|
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|
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
Andrey S. Mishchenko, Lode Pollet, Nikolay V. Prokofâ€™ev, Abhishek Kumar, Dmitrii L. Maslov, Naoto Nagaosa
Polaron Mobility in the â€œBeyond Quasiparticlesâ€ Regime
published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.123.076601
|Physical Review Letters 123/7||2019-10-29|
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|
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|
Pramod Kumar, PÃ¤ivi TÃ¶rmÃ¤, 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|
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|
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|
Are you the coordinator (or a participant) of this project? Plaese send me more information about the "QSIMCORR" 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 (firstname.lastname@example.org) 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 "QSIMCORR" are provided by the European Opendata Portal: CORDIS opendata.
Varieties of Media EffectsRead More
Penetration-promoting and Imageable Polymeric Micelles as a Platform Technology for Individualized and Improved Tumor-targeted Drug DeliveryRead More
Explaining Transnational Jihad - Patterns of Escalation and ContainmentRead More