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
Low Temperature Behavior and Crossovers of the Square Lattice Quantum Heisenberg Antiferromagnet
Jae-Kwon Kim,Matthias Troyer +1 more
TL;DR: In this article, thermodynamic measurements of various physical observables of the two-dimensional isotropic quantum Heisenberg antiferromagnet on a square lattice, obtained by quantum Monte Carlo methods, are presented.
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Quantum computing enhanced computational catalysis
Vera von Burg,Guang Hao Low,Thomas Häner,Damian S. Steiger,Markus Reiher,Martin Roetteler,Matthias Troyer +6 more
TL;DR: A state-of-the-art analysis of accurate energy measurements on a quantum computer for computational catalysis, using improved quantum algorithms with more than an order of magnitude improvement over the best previous algorithms.
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Reexamining classical and quantum models for the D-Wave One processor
TL;DR: In this article, the authors revisited the evidence for quantum annealing in the D-Wave One device (DW1) based on the study of random Ising instances.
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Nonstoquastic Hamiltonians and quantum annealing of an Ising spin glass
TL;DR: In this paper, the authors proposed a system for the detection of anomalous anomalies in a set of synthetic data points in the U.S. Intelligence Advanced Research Projects Activity (Lincoln Laboratory).
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Quantum Algorithm for Spectral Measurement with a Lower Gate Count.
David Poulin,David Poulin,Alexei Kitaev,Damian S. Steiger,Matthew B. Hastings,Matthias Troyer,Matthias Troyer +6 more
TL;DR: In this paper, the authors present two techniques that can greatly reduce the number of gates required to realize an energy measurement, with application to ground state preparation in quantum simulations, with both tailored to lattice models and targeted at reducing the use of generic single-qubit rotations.