Quantum Monte Carlo Simulations of Rydberg Atom Arrays
ORAL
Abstract
Classically simulating such systems is useful both for verifying experimental results, and for probing the physics of larger systems which may not yet be available experimentally. While the stoquasticity of the Hamiltonian does in principle allow exact QMC simulations, devising an efficient simulation scheme is not always trivial. We discuss our recent QMC algorithm for exact simulations of Rydberg arrays in which we devise updates that allow for the efficient estimation of physical observables for typical experimental parameters, and show that the algorithm can reproduce experimental results of groundstates of large Rydberg arrays in two dimensions.
* This work was supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canada Research Chair (CRC) program, and the Perimeter Institute for Theoretical Physics. Research at Perimeter Institute is supported in part by the Government of Canada through the Department of Innovation, Science and Economic Development Canada and by the Province of Ontario through the Ministry of Colleges and Universities. Simulations were made possible by Compute Canada and the Shared Hierarchical Academic Research Computing Network (SHARCNET).
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Publication: Ejaaz Merali, Isaac J. S. De Vlugt, and Roger G. Melko. Stochastic Series Expansion Quantum Monte
Carlo for Rydberg Arrays, 2023.
Presenters
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Ejaaz Merali
University of Waterloo
Authors
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Ejaaz Merali
University of Waterloo
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Roger G Melko
University of Waterloo