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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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Proceedings ArticleDOI

Topological phases in InAs1−xSbx: from novel topological semimetal to Majorana wire(Conference Presentation)

TL;DR: In this paper, a stable ordered CuPt-structure at x = 0.5Sb0.5 with alternating (111)-layers of As and Sb was considered, and it was shown that wires made of certain ordered alloys have spin splittings up to 20 times larger than those reached in pristine InSb wires.
Journal ArticleDOI

Subband Engineering Even-Denominator Quantum Hall States

TL;DR: In this paper, the authors theoretically analyze these structures and develop a procedure to accurately test proposed quantum Hall wavefunctions and find that tilted wells favor partial subband polarization to yield Abelian even-denominator states.
Journal ArticleDOI

Fidelity susceptibility made simple: A unified quantum Monte Carlo approach

TL;DR: In this article, the authors present a generic approach to compute the fidelity susceptibility of correlated fermions, bosons, and quantum spin systems in a broad range of quantum Monte Carlo methods.
Journal ArticleDOI

Thermodynamics of the Hubbard model on stacked honeycomb and square lattices

TL;DR: In this article, the authors present a numerical study of the Hubbard model on simply stacked honeycomb and square lattices, motivated by a recent experimental realization of such models with ultracold atoms in optical lattices.
Journal Article

Thermodynamics of the 3D Hubbard model on approach to the Neel transition

TL;DR: In this paper, the authors studied the thermodynamic properties of the 3D Hubbard model for temperatures down to the Néel temperature by using cluster dynamical mean-field theory, and calculated the energy, entropy, density, double occupancy, and nearest-neighbor spin correlations as a function of chemical potential, temperature, and repulsion strength.