M
Matthias Troyer
Researcher at Microsoft
Publications - 481
Citations - 35590
Matthias Troyer is an academic researcher from Microsoft. The author has contributed to research in topics: Quantum Monte Carlo & Monte Carlo method. The author has an hindex of 86, co-authored 473 publications receiving 28965 citations. Previous affiliations of Matthias Troyer include University of Zurich & ETH Zurich.
Papers
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Journal ArticleDOI
Mutual information in classical spin models
TL;DR: In this paper, the total many-body correlations present in finite temperature classical spin systems were studied using the concept of mutual information, and the Shannon mutual information and the Renyi mutual information in both Ising and Potts models in two dimensions were calculated numerically by combining matrix product state algorithms and Monte Carlo sampling techniques.
Journal ArticleDOI
Phase diagram of Bose-Fermi mixtures in one-dimensional optical lattices.
TL;DR: In this paper, the ground state phase diagram of the one-dimensional Bose-Fermi Hubbard model is studied in the canonical ensemble using a quantum Monte Carlo method, focusing on the case where both species have half filling in order to maximize the pairing correlations between the bosons and the fermions.
Journal ArticleDOI
The Phase Diagram of the $\nu=5/2$ Fractional Quantum Hall Effect: Effects of Landau Level Mixing and Non-Zero Width
Kiryl Pakrouski,Michael R. Peterson,Thierry Jolicoeur,Vito Scarola,Chetan Nayak,Matthias Troyer +5 more
TL;DR: In this paper, the authors numerically diagonalize a comprehensive effective Hamiltonian describing the fractional quantum Hall effect of electrons under realistic conditions in GaAs semiconductors, and find the ground state in both the torus and spherical geometries as a function of the quantum well and sub-band mixing.
Journal ArticleDOI
Ferromagnetism of the one-dimensional Kondo-lattice model: A quantum Monte Carlo study.
Matthias Troyer,Diethelm Würtz +1 more
TL;DR: The one-dimensional Kondo-lattice model is investigated using quantum Monte Carlo and transfer-matrix techniques and shows a Ruderman-Kittel-Kasuya-Yosida-like behavior in the weak-coupling region.
Book ChapterDOI
Bridging workflow and data provenance using strong links
TL;DR: A persistent storage mechanism is proposed that manages input, intermediate, and output data files, strengthening the links between provenance and data and provides better support for reproducibility.