Corboz Lab

University of Amsterdam

West-Nederland (NL3) · Netherlands

ERC-funded
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Research focus

ERC Consolidator Grant · 2020

State-of-the-art simulations of quantum many-body systems with the next-generation tensor network algorithms

One of the biggest and most relevant challenges in physics is the accurate study of strongly correlated quantum many-body systems, which give rise to very remarkable phenomena like high-Tc superconductivity (HTSC), quantum spin liquids with topological order, and other novel phases of matter. Understanding these systems is the key to designing new materials and quantum devices for future groundbreaking technologies. In recent years enormous progress in the study of these systems has been achieved with two-dimensional tensor network algorithms, which can be seen as a generalization of the powerful density-matrix renormalization group method to higher dimensions. While already the current…

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