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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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Journal ArticleDOI

Propagation of errors and quantitative quantum simulation with quantum advantage

TL;DR: In this article , the authors analyse the requirements for quantitatively reliable quantum simulation beyond the capabilities of existing classical methods for analogue quantum simulators with neutral atoms in optical lattices and trapped ions.
Journal ArticleDOI

Toward Quantum Computing for High-Energy Excited States in Molecular Systems: Quantum Phase Estimations of Core-Level States.

TL;DR: In this article, the utility of the quantum phase estimation (QPE) algorithm in calculating high-energy excited states characterized by the promotion of electrons occupying core-level shells is explored.
Journal ArticleDOI

One-dimensional itinerant interacting non-Abelian anyons

TL;DR: In this article, the authors derived effective anyonic t-J models for the low-energy sectors of a chain of non-Abelian anyons moving along one-dimensional chains, and derived a fractionalization of the anyons into charge and anyonic degrees of freedom.
Book ChapterDOI

Fermionic and Continuous Time Quantum Monte Carlo

TL;DR: In this article, the authors present a series of continuous-time algorithms for fermionic systems, which evaluate the diagrammatic perturbation series of interacting many-body systems stochastically.
Posted Content

A model project for reproducible papers: critical temperature for the Ising model on a square lattice

TL;DR: A simple simulation in statistical physics, consisting of large scale Monte Carlo simulations followed by an involved statistical analysis of the results, is presented to provide an example publication to explore tools for writing reproducible papers.