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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Experimental signatures of the inverted phase in InAs/GaSb coupled quantum wells
Matija Karalic,Susanne Mueller,Christopher Mittag,Kiryl Pakrouski,QuanSheng Wu,Alexey A. Soluyanov,Alexey A. Soluyanov,Matthias Troyer,Matthias Troyer,Thomas Tschirky,Werner Wegscheider,Klaus Ensslin,Thomas Ihn +12 more
TL;DR: In this paper, transport measurements were performed on InAs/GaSb double quantum wells at zero and finite magnetic fields applied parallel and perpendicular to the quantum wells, and the inverted regime was investigated.
Posted Content
The Trotter Step Size Required for Accurate Quantum Simulation of Quantum Chemistry
TL;DR: In this article, the authors showed that the complexity of the Trotter step required for an ensemble of random artificial molecules is O(n 2 ) in the worst case for real-world molecules, where n is the number of spin orbitals.
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Supersymmetric multicritical point in a model of lattice fermions
TL;DR: In this article, a model of spinless fermions with infinite nearest-neighbor repulsion on the square ladder, which has microscopic supersymmetry was studied, and it has been conjectured that the model is described by the superconformal minimal model with central charge c=3/2.
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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 and Renyi mutual information in both Ising and Potts models in 2 dimensions were calculated numerically by combining matrix product states algorithms and Monte Carlo sampling techniques.
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Quantum spin chains in a magnetic field
TL;DR: In this article, the authors demonstrate that the worm algorithm allows very effective and precise quantum Monte Carlo (QMC) simulations of spin systems in a magnetic field, and its autocorrelation time is rather insensitive to the value of H at low temperature.