372 citations · 517 across the 6 of their papers we have counts for
6 papers
Probing transport in quantum many-fermion simulations via quantum loop topography
Yi Zhang, Carsten Bauer, Peter Broecker +2
Quantum many-fermion systems give rise to diverse states of matter that often reveal themselves in distinctive transport properties. While some of these states can be captured by m…
Quantum phase recognition via unsupervised machine learning
Peter Broecker, Fakher F. Assaad, Simon Trebst
The application of state-of-the-art machine learning techniques to statistical physic problems has seen a surge of interest for their ability to discriminate phases of matter by ex…
Numerical stabilization of entanglement computation in auxiliary field quantum Monte Carlo simulations of interacting many-fermion systems
Peter Broecker, Simon Trebst
In the absence of a fermion sign problem, auxiliary field (or determinantal) quantum Monte Carlo (DQMC) approaches have long been the numerical method of choice for unbiased, large…
Machine learning quantum phases of matter beyond the fermion sign problem
Peter Broecker, Juan Carrasquilla, Roger G. Melko +1
State-of-the-art machine learning techniques promise to become a powerful tool in statistical mechanics via their capacity to distinguish different phases of matter in an automated…
Entanglement and the fermion sign problem in auxiliary field quantum Monte Carlo simulations
Peter Broecker, Simon Trebst
Quantum Monte Carlo simulations of fermions are hampered by the notorious sign problem whose most striking manifestation is an exponential growth of sampling errors with the number…
Renyi Entropies of Interacting Fermions from Determinantal Quantum Monte Carlo Simulations
Peter Broecker, Simon Trebst
Entanglement measures such as the entanglement entropy have become an indispensable tool to identify the fundamental character of ground states of interacting quantum many-body sys…