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
The d-wave resonance valence bond state
TL;DR: In this article, the properties of strongly correlated electron models in the form of ladders are reviewed and possible relationships of ladder systems to a two-dimensional planar t-J model are discussed.
Journal ArticleDOI
A massively parallel particle-in-cell code for the simulation of field-emitter based electron sources
TL;DR: A parallel high-performance 3D Particle-In-Cell code, called Capone, has been implemented in C++ using the POOMA II framework on the Linux platform and Sophisticated C++ expression templates techniques deliver Fortran performance combined with high-level programming and development comfort.
Patent
Optimized trotterization via multi-resolution analysis
TL;DR: In this article, a Trotter-like approximation of unitary operators in quantum devices is proposed. But it is not shown how to apply levels of a unitary operator at unique intervals of calculational steps.
Book ChapterDOI
Ensemble optimization techniques for the simulation of slowly equilibrating systems
Simon Trebst,David A. Huse,Emanuel Gull,Helmut G. Katzgraber,Ulrich H. E. Hansmann,Ulrich H. E. Hansmann,Matthias Troyer +6 more
TL;DR: In this paper, extended ensemble Monte Carlo simulations are used to study the equilibrium behavior of complex many-particle systems and to explore and overcome entropic barriers which cause the slow-down.
Posted Content
Optimizing Schedules for Quantum Annealing
TL;DR: In this paper, a heuristic approach for the optimization of annealing schedules for QA was presented and applied to 3D Ising spin glass problems. But, the results showed that the classical and QA schedules are similarly optimized.